",isbn:null,printIsbn:null,pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"41bb676bc0139bb19088abda55f035d0",bookSignature:"Associate Prof. Alina Maria Sisu",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/7027.jpg",keywords:"embryo, foetus, stages, X,Y chromosomes , SRY Gene, Protein genes, gestation weeks , Phenotypic structures, Environmental sex determination, Genetics ",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 25th 2018",dateEndSecondStepPublish:"November 15th 2018",dateEndThirdStepPublish:"January 14th 2019",dateEndFourthStepPublish:"April 4th 2019",dateEndFifthStepPublish:"June 3rd 2019",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"4 years",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"138775",title:"Associate Prof.",name:"Alina Maria",middleName:null,surname:"Sisu",slug:"alina-maria-sisu",fullName:"Alina Maria Sisu",profilePictureURL:"https://mts.intechopen.com/storage/users/138775/images/system/138775.jpeg",biography:"Alina Maria Sisu is an Associate Professor at the Anatomy and Embryology Department of Victor Babes University of Medicine and Pharmacy, Timisoara, Romania. 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1. Introduction
Kidneys play several roles in helping maintain physiologic balance; they are therefore important for continuing or regaining homeostasis during and after surgery and anesthesia. The renal system is necessary to support the processes of fluid, electrolyte, and acid-based balance, drug metabolism and elimination, blood pressure control through the renin-angiotensin system, red blood cell production through erythropoietin production, and vitamin D hydroxylation.
2. Main issues regarding the oral health in patients on hemodialysis and those with kidney transplant
The primary role of the dental doctor consists of the early diagnosis or referral of the patient to the right specialist, as the most frequent renal disease a dentist may encounter is the chronic kidney disease [18, 39, 114].
The symptoms that may lead us to the conclusion of constrained renal function vary depending on the extent of the damage and the reaction to the suggested treatment, and are characterized with systemic as well as intraoral findings.
3. Common symptoms at CKD (Chronic Kidney Disease)
– cardiomyopathy, arrhythmia, pericarditis, high blood pressure, difficulty in breathing, congestive heart failure
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tDermatologic\n\t\t\t
\n\t\t\t
– paleness, itching, signs of scratching because of the itch, increased photosensitive pigmentation, uremic white spots, brown coloring of the nails- Fig.1, signs of water retention, limb heaviness, edema of the ankles
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tRespiratory\n\t\t\t
\n\t\t\t
– Kussmaul breathing because of acidosis, pulmonary edema, dyspnea
Renal osteodystrophy or renal bone disease is one of the most prominent signs of CKD and may occur in one or several combined forms. As a result of the increase of the level of phosphates in blood plasma, the decrease of calcium in blood plasma and the failure of processing of 25-hydroxycholecalciferol into the active and necessary 1.25 dihydroxycholecalciferol, an increase of the parathormone (PTH) occurs. This leads to secondary hyperparathyroidism. Because of the increase of the non-mineralized bone matrix progressive bone changes may be observed - osteomalacia, lytic lesions followed by bone fibrosis. Renal osteodystrophy in kids leads to a delay in skeletal growth and a tendency for spontaneous fractures.
Most frequent orofacial signs of renal osteodystrophy are bone demineralization, lower trabeculation, lower density of the cortical bone, calcifications in soft tissues, radiolucent fibrocystic lesions, and complicated bone healing following extraction. Regarding the teeth and parodontal tissues we may observe delayed eruption, enamel hypoplasia (fig.2), loss of lamina dura, widening of the periodontal space, severe periodontal destruction, tooth mobility, denticles, obliteration of pulp chamber, and giant-cell lesions of the type “brown tumors”[78, 85].
Figure 2.
Hypoplasia and open bite in a female patient on hemodialysis
Nephrotic syndrome is observed in patients with glomerular diseases. It includes proteinuria (over 3.5 gr), hypoalbuminemia, hyperlipidemia, lipiduria, and edema. Causes may vary: sugar diabetes, chronic lupus erythematosus, or membrane glomerulonephritis. Increased level of blood coagulation factor VIII may lead to hypercoagulation and increased risk of thrombosis. Such patients may suffer catabolic processes, bacterial, fungal and viral infections [53, 66].
It should be noted that a significant part of the patients with renal disorders may also suffer from diabetes [14]. It is less probable for a dentist to diagnose diabetes, but patients whose dental status alters unexpectedly as rapidly as in progressive parodontitis, fungal eczemas, abscesses, high fluid intake, rapid weight loss, mouth dryness and halitosis [28, 29] may be suspicious. Those symptoms impose the appointment of definite examinations, which may help to set the latter diagnosis.
Renal disorders almost invariably cause anemia as a result of the kidneys’ inability to produce erythropoietin. Fibrosis of marrow and the increased loss of erythrocytes are additional factors which increase the development of the disease. Anemia leads to fatigue, loss of concentration, tissue hypoxia, and paleness of the oral mucosa. In patients with advanced and untreated uremia, yellow-brownish coloring of the skin and mucosa because of the accumulation of carotene-like substances [4, 125] may be observed.
4. Intraoral findings typical for patients on hemodialysis and patients with kidney transplant
Almost mandatory findings for each patient on hemodialysis are uremic breath and altered taste in the oral cavity. They occur as a result of the increased concentration of urea in saliva and its following transformation to ammonia [18, 60, 113, 121]. It is possible, however, for similar complaints to be registered in patients with normal values for blood and urine, for example after transplantation, and this is caused by the higher corrosion potential, combined with insufficient and personal and professional oral hygiene [90].
Xerostomia could be explained with lowered fluid intake, as a side effect of antihypertensive or other medicaments, possible alterations in the salivary glands due to autoimmune or age-related changes [25, 26, 27, 28, 41, 47, 52, 73, 91, 92]. The study of Bots et al. [12] proves that in patients on hemodialysis the saliva quantity (stimulated and non-stimulated) is temporarily lowered but after transplantation and recovery of the renal function it is restored to normal values. With the same patients they register drop in pH from 7.36 to 6.74 probably because of the lower concentration of urea in saliva and the following decrease of hydrolysis and by the transformation of oral flora to ammonia [16].
Oral mucosa findings, reported in patients with CKD, with the exception of uremic stomatitis (fig.3), are unusual and vary, as a result of the main disease, as well as the intake of drugs: white plaques, macules, nodules, erythematous plaques, fibro-epithelial polypus, ulceration, geographic tongue (fig.4), lichen planus, red fibrous tongue, fiber leukoplakia, and papilloma [21, 38, 76]. We may notice pale oral mucosa because of anemia, but also red-orange coloring of the skin following the deposition of carotene-like substances [71, 92, 110].
Figure 3.
Uremic stomatitis
Figure 4.
Geographic tongue
Cervero et al. [18] described 4 types of uremic stomatitis (erythematous, ulcerative, haemorrhagic and hyperkeratotic). The lesions are painful, situated on the ventral surface of the tongue, on the floor of the oral cavity and the buccal mucosa. Most frequently the cause is untreated CKD. It emerges because of inflammation and the chemical influence of ammonia or ammonia components, formed by the hydrolysis of the urea (over 30mmol/L intraoral) [95] in the saliva by urease. Kellet [58] reports about four patients with chronic renal insufficiency suffering white painless plaques. They are not subject to treatment, and they disappear in up to 2 or3 weeks after regulating the level of blood urea. Long [71] defines two types of uremic stomatitis: І type - generalized or localized erythema with grey-white pseudomembrane coating the removal of which doesn’t lead to bleeding or ulceration, and type ІІ- after removing the coating of the surface is ulcerating [3, 27, 58, 71].
Mac-Donald [74], Peneva et al. [87] found delay in the eruption of the permanent teeth with statistically significant difference in children born with the disease and lasting for life in comparison to healthy children.
Peneva et al. [85] explored the incidence of tooth decay among 30 children on hemodialysis and defined that children on dialysis suffer less frequently from decay compared to healthy children. They also found that, decay resistance is higher at children with earlier beginning of the disease and longer duration.
Shu et al. [105] explored the correlation between decay and urease activity of the tooth plaque in 25 caries-free participants and 8 participants with decays. They found that in the caries-free subjects urease activity of the dental plaque is significantly higher than this in patients with caries. They suggested that the loss of alkalizing potential of the tooth biofilm is in positive correlation with the incidence of tooth decay. Meanwhile they didn’t establish statistically significant difference in the salivary urease activity.
Takeuchi et al. [111] researched the oral microbial flora in patients with renal disease and its influence on caries and parodontal pathology. They discovered significantly higher count of parodontal and decay pathogens in patients with renal disease. This fact in turn defines the higher risk of tooth decay and parodontal disease compared to healthy samples.
Most researches regarding the oral status of patients with CKD, on hemodialysis or transplanted, are made with a control group consisting of healthy patients. For the first time a long-term, two- year research by Bots et al. [13] compares xerostomia, the sense of thirst, saliva secretion and the general oral health of patients with renal failure to those of a group of transplanted patients. Using DMFT, DMFS- indexes they find that the teeth affected by decay don’t differ statistically in the group of patients on hemodialysis from those of the control group with transplanted patients. In this research, the scholars expressly note the increased necessity of examining the oral status of patients expecting transplantation.
Gavalda et al. [41] examined 105 patients on hemodialysis. They diagnosed mucosal, salivary, dental and periodontal findings in the oral cavity. They didn’t find significant difference between the value of the index referring to the decay incidence in patients on hemodialysis and healthy samples, but they established such at indexes reflecting the amount of calculus and tooth plaque.
Bayraktar et al. [8] found elevated incidence of tooth caries in their control healthy group compared to group of patients on hemodialysis, but that rise is not statistically significant. Rustemeyer et al. [97] didn’t find statistically significant difference of the dental health of the groups in their research either, but they noted the tendency for higher value of DMFT in the groups expecting renal transplantation (X ¯\n\t\t\t\t=14,9), liver transplantation (X ¯\n\t\t\t\t=14,5), valve transplantation (X ¯\n\t\t\t\t=15,2) and the control group (X ¯\n\t\t\t\t=13,8).
In the scientific literature, the issue of prevention and early dental intervention in patients on dialysis has become extremely pertinent, with a marked emphasis on the requirement for an interdisciplinary approach towards these patient groups [11, 30, 61].
Hypoplasia- there are cases where ESRD evolved in childhood. Pulp obliteration is due to violations in calcium and phosphoric exchange [60, 74, 81, 86, 90].
It’s been proven that parodontitis may contribute to the development of common inflammation processes and systemic diseases such as atherosclerosis and cardiovascular diseases [22, 109]. Gingival pathogens may damage system circulation in the body by one of two connected mechanisms:
They provoke liver enzyme activity, influencing IL-6 and C-reactive protein, which in its turn activates the system of the complement and cause the deposition of calcium connections and aggregation of LDL and very LDL cholesterol.
P. gingivalis damages human endothelial cells and helps the formation of atheromatous plaques [11, 22, 60, 65, 84, 112].
Fisher [37] in his research defines parodontal disease as an “unconventional risk factor for the development of chronic renal disease”. Pejcic et al. [84] took part into the discussion about the role of periodontitis as a risk factor for general diseases. Authors such as Klassen and Krassko [62] and Al Wahadni and Al Omari [2] report prevalence of gingival and parodontal diseases in patients on hemodialysis. There are authors who don’t find increase in parodontal indexes with such patients [13, 55, 81]. Kshisageret et al. [68] note the significance of parodontal health in end-stage renal failure. They carried out a retrospective cohort research and followed the correlation between parodontal diseases and the mortality rate of patients with severe cardiovascular disease, such as patients with CKD. They established define that the mortality rate in the group of the patients with medium to severe periodontitis and cardiovascular disease is five times higher for the 18- month period of the research.
Using parodontal diagnostics, that includes CPITN, PI, PBI (papillary bleeding index), CAL (clinical attachment level), Borawski et al. examine patients on hemodialysis, patients on peritoneal dialysis, patients in the pre-dialysis stage, patients with advanced periodontitis and average patients (randomly selected). The research shows a much higher incidence of parodontitis development in patients with renal disease in comparison to average patients. Periodontal disease is practically most severe in patients on hemodialysis, less severe in patients on peritoneal dialysis and moderate in patients in the pre-dialysis stage.
Relatively little is known about the long term effect of dialysis treatment on oral health. A research carried out by a group of Turkish scientists, Bayraktar et al. [8], proves the necessity of sanitation, because of the negative results that occur with time onto oral health of this patient group. The publications of Graig [44], Donald [31], and Davidovich [23, 24] testify to the two-way relation between end-stage CKD and the severity of parodontal inflammation, which can be proved by examining the levels of C-reactive protein.Bayractar et al. [8], led by the fact that problems with oral health may have a negative influence over patients in end-stage CKD, launched a survey comparing the parodontal and dental status of patients with renal failure and a healthy control group. They established that there isn’t a statistically significant difference between the measured pocket depths (PPD) of the two groups, but the values of the plague index (PI), the calculus index (CSI), and the gingival index (GI) show significant statistical difference. A positive correlation was established between the duration of dialysis procedures more than 3 years and missing teeth, the gingival index and pocket depth.
The research of Davidovich [24] shows for the first time the relation between the duration of dialysis and parodontal diseases in children. The results present a significant loss of epithelial attachment in patients with end-stage CKD compared to healthy patients. A positive correlation was established between the severity of parodontal status and bad oral hygiene, the uremic status, and the duration of the kidney disease.
Regarding the cause of commonly reported gingival inflammation in patients with CKD, controversial data in literature exists. Nunn et al. [81], Tollefsen & Jonasen [118, 119], and Ertugrul et al. [36] report reduction in gingivitis because of immunosuppressants and uremia. Naugle et al. [79] reveal conflicting data. Furthermore, Kitsou et al. [62] reproduce experimental gingivitis following the protocol of Löe. Oral hygiene is discontinued for 28 days. The authors report they haven’t found differences in the gingival indexes between the group of 6 patients on hemodialysis and one of 6 patients without renal problems and conclude that chronic uremia doesn’t contribute to the defensive mechanisms of parodontal tissue against tooth plaque. Davidovich et al. [24] report a statistically significant difference comparing the duration of the dialysis and CKD and gingival and parodontal changes. They report that uremia and immunosuppression reduce but don’t eliminate an inflammation response of the gingiva and periodontium against tooth plaque. Another condition accompanying end-stage renal failure is diabetes. Chuang et al. [21] compared the oral health of 45 patients suffering from diabetes and undergoing hemodialysis treatment to that of 83 patients without diabetes but on hemodialysis. They reported lower saliva secretion and lower pH connected with higher caries levels in the diabetes group, but they didn’t observe differences in gingival inflammation and the presence of parodontitis. In the research of Borawski et al. [11] the need is noted of treatment through CPITN for patients on hemodialysis and transplanted renal patients.
Figure 5.
Cyclosporine induced gingival hyperplasia
Another finding in patients with end-stage liver failure, is drug-induced gingival hyperplasia (DIGH) (fig.5). Its mechanism of occurrence is multifactorial and has not yet been fully explained. The intake of antihypertensive and immunosuppressive drugs gives evidence in the oral cavity [42, 50, 104, 115]. Such overgrowth is usually observed in the early posttransplantation period (4 m) and in combination with insufficient oral hygiene or previously damaged periodontium [1, 30, 89, 112].The sole influence of cyclosporine remains controversial in the specialized literature. Data varies from 25 to 81% depending on methods used [104]. R. A. Seymour [103] compares the influence of azathioprine on gingiva to that of cyclosporine and finds that azathioprine has no damaging effect on the gingiva. J. A. James [57] reports the absence of gingival changes when using tacrolimus (6,4%) and cyclosporine (17,9%) on the third month after immunosuppression, excluding patients with accompanying antihypertensive therapy. Their study shows that tacrolimus also induces gingival hyperplasia, but to a lesser extent [3]. James [56] takes into consideration 4 cases of swapping cyclosporine with tacrolimus, combined with professional care of periodontist. In only one case a full regression of the gingival overgrowth occurs. J. A. James [57] compares gingival hyperplasia among 25 patients taking tacrolimus, and 26 control group patients and doesn’t find a statistically significant difference. This gives him the grounds to distinguish tacrolimus as an alternative to cyclosporine A, when a severe case of gingival hyperplasia is present.
Researches made by Davidovich [24] and Thorp et al. 116] confirmed the findings of Nunn et al. [81] about gingival overgrowth in transplanted patients on immunosuppression with cyclosporine A and less frequently occurring one in patients taking tacrolimus.
Radwan- Oczko et al. [94] sought a connection between gingival hyperplasia, immunosuppressive drugs and the growth factor β1 (TGF β1), which is considered a key cytokine in fibrogenesis. They didn’t prove any statistically significant relation between gene expression of TGF β1, gingival hyperplasia and treatment with cyclosporine A and tacrolimus.
Djemileva [30] and Gera [42] believe that shared responsibility in maintaining oral health in the long process of treatment of these patients is a crucial factor as well as the possible switch of immunosuppressants. The studies of Somacarrera et al. [108], Ellis et al. [34], and J. Smith et al. [106] are taken as evidence corroborating the supposition that maintaining sufficient oral hygiene leads to a decrease of gingival hyperplasia.
Malignancy. The suppression of the immune system in transplanted patients may predispose the formation of malignant entities. Two types of malignant formations that prevail in patients with kidney transplantation have been reported: cancer of the cervix and squamous cancer of the skin [10, 17, 66, 88, 100]. Malignancy may also include Kaposi’s sarcoma, renal cancer, and lymphomas.
Candidiasis is particularly specific for the early post-transplantation period: from 0 to 6 months. It is caused first by the immunosuppressive action of the drugs and the impact on oral homeostasis and second by the decrease of saliva secretion- medications for hypertension, and dialysis procedures [32, 49, 78, 99].
4.1. A dental treatment approach to patients on hemodialysis and transplanted
Assuming susceptibility of the patients on hemodialysis and those with a renal transplant to infections, it proves necessary to pick the right antibiotics for each dental procedure, that may cause longer bacteraemia [97, 120]. A number of studies prove the need of antibiotic protection at risky dental manipulations, even though according to Lockhart et al. [70], washing one’s teeth is comparable to tooth extraction as a possible cause for bacteraemia [122, 123]. It’s necessary to have in mind the possibility of contamination of parodontal tissues through various means of personal oral hygiene [72, 93].
The American Heart Association in its recommendations for the prevention of bacterial endocarditis from 2007 [123] divides the dental procedures into such hazardous for bacteraemia: all procedures connected with manipulation of the gingival tissue and the periapical region of the teeth, or perforation of the oral mucosa, and these where antibiotic prophylaxis is not necessary: routine anesthesia through non-infected tissue, radiographs, and bleeding from trauma of the oral mucosa. In a similar way, D. Tong [119, 120] made a division of the dental procedures (table 2).
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tHigh risk category\n\t\t\t
\n\t\t
\n\t\t
\n\t\t\t
Tooth extraction Periodontal procedure that includes surgery, Ultrasound scaling Root probing Implant placing and tooth reimplantation Endodontic instrumentation or surgery beyond root apex Subgingival application of antibiotic fibers and bands Initial placing of orthodontic rings but not brackets Intraligamentary local anesthesia Preventive cleaning of teeth or implants with expected bleeding
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tProcedures where prophylaxis is not needed\n\t\t\t
\n\t\t
\n\t\t
\n\t\t\t
Dental restorations with or without a retraction cord Local anesthesia (excluding intraligamentary) Intracanal endodontic procedures after placing implants and build-ups Rubber dam placing Post-operative suture removal Placement of orthodontic and prosthetic constructions Taking of dental impressions Teeth fluoridation Radiographs Adjustment of orthodontic constructions Replacement of milk teeth
\n\t\t
\n\t
Table 2.
Dental procedures with a compelling antibiotic prophylaxis in patients at risk
4.2. Dental treatment approaches in the pre- and post-operative periods
Most authors are unanimous that in the pre-transplantation period preventive sanitation of all foci is necessary [5, 6, 11, 12, 27, 46, 64, 82, 84, 96, 97, 98]. To the initial dental diagnostics that includes standard dental examination and parodontal examination the methods of the complex oral and focal diagnostics could be added, which may define the dominant and latent foci that early in the pre-transplantation period so that a treatment plan for the post-transplantation period can be devised. Dental doctors should be aware of the degree of renal insufficiency and the current medical status of the patient. Consultation with the patient’s general doctor should be made and lab tests should be performed, especially before surgical dental interventions. The intake of systemic antibiotics in the pre-transplantation period is contraindicated [82], not counting life-threatening situations. Heavily damaged decayed teeth and such with radiograph changes and symptoms should be extracted. A mass teeth extraction procedure is to be performed on patients with bad oral hygiene and advanced periodontal disease, and on those unmotivated to maintain sufficient oral hygiene. Surgical sanitation is followed by prosthetic restoration [54].
It is necessary to treat all newly emerged dental conditions without waiting for the clinical symptoms to develop. Moreover, to fulfil the requirements for sufficient dental health, a patient should have a sufficient knowledge. Several studies take notice of the fact that patients suffering from CKD don’t maintain sufficient oral hygiene and it should be improved [7, 43].
Infection control is a complex issue regarding patients with end-stage renal disease. If an invasive dental procedure is required, a consultation with the treatment doctor must be made. The current health status of the patients is consulted, as well as the possible need of antibiotic premedication, usage of local anesthetics and other drugs. Prescribing medicaments to patients with renal insufficiency should be approached with care and in full accordance with their current medical and renal condition [19, 20, 53, 67] (table 3).
Antibiotic premedication for patients suffering from CKD, adap. J. W. Little, D. A. Falace et al [66]; J. A. Ship [105]
W. M. Bennett et al. [9] propose a change in dosage for patients on hemodialysis with emerged tooth infection:
Penicillin 500 mg p. o. every 6 hours after dialysis;
Amoxicillin 500 mg p. o. every 24 hours after hemodialysis;
Ampicillin 250 mg – 1 g p. o. every 12-24 hours after hemodialysis;
Erythromycin 250 mg р.о. every 6 hours optional only after dialysis;
Clindamycin 300 mg р.о. every 6 hours optional only after dialysis.
According to data from Tong and Walker [120] in Australia and New Zealand, 53% of dental doctors follow the instructions of AHA for the prevention of bacterial endocarditis. One of the most frequently used patterns for premedication is taking a 2g Amoxicillin or 600 mg Clindamycin (in cases of Penicillin allergy) one hour before a dental procedure: for kids 50mg/kg oral intake 30-60 minutes before the procedure.
A survey in two Swedish provinces reveals that the most frequently prescribed antibiotics to kidney transplanted patients when performing scaling, tooth extraction and root canal treatment are Amoxicillin, Penicillin, Clindamycin [33].
The issue of antibiotic prevention of bacterial endocarditis has undergone considerable development in the past 10 years. In 2007 AHA published an amendment to the recommendations from 1997. AHA (2007) narrows significantly the diseases whose dental treatment is indicative for antibiotic prevention. In the recommendations patients with dialysis shunts are classified in class 3, level C on account of the possibility for the development of bacterial endocarditis during dental treatment. This means that there are indications, supported with evidence or general agreement, that the procedures/treatment are not necessary, ineffective and in some cases even damaging. The level of evidence is C, in other words the recommendations are based only on an established consensus of views of experts, on separate cases or on accepted standards of treatment. Despite this fact, these patients are defined as ‘’unique’’ in view of the higher risk of infections of the venous shunt, because of their immunocompromised status and the increased count of S. aureus [5]. Around 22% of the arteriovenous shunts get infected, which leads to antibiotic intake or to changes in the intake plan. The pathogens linked with the infection occurring in the application of the vascular approach are 53% S. aureus and 20.3% coagulase-negative staphylococci. In the AHA guide [5] to non-valvular cardiovascular equipment a regime of antibiotic prophylaxis of patients with hemodialysis shunts and organ transplants is not mentioned. The same opinion is maintained by Pallsh [83]. Lockhart et al. [69] methodically examine the efficiency of antibiotic premedication in dental practice. They divide patients taking antibiotics in 8 groups. One of the groups consists of patients with hemo- and peritoneal dialysis: with kidney dialysis shunts (hemodialysis and peritoneal). The authors found little or no scientific evidence on issues relating tothe usage of antibiotic prophylaxis before dental procedures in these 8 groups of patients.
Until now no clear evidence has been provided that during invasive dental treatment of patients with advanced renal, liver or heart condition antibiotic prevention is needed, but most dental centers and authors follow the instructions of the AHA [123], pointing out two main reasons: shunt infection risk [101] or the possible development of infectious endocarditits [109] (table 4).
\n\t\t
\n\t\t
\n\t\t
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tCondition\n\t\t\t
\n\t\t\t
\n\t\t\t\tAntibiotic\n\t\t\t
\n\t\t\t
\n\t\t\t\tPrescription\n\t\t\t
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tStandard prophylaxis\n\t\t\t
\n\t\t\t
Amoxicillin
\n\t\t\t
Adults 2.0mg
\n\t\t\t
Kids 50 mg/kg
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tInability for oral intake\n\t\t\t
\n\t\t\t
Ampicillin
\n\t\t\t
2g i.m. or i.v.
\n\t\t\t
50 mg/kg i.m. or i.v.
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tPenicillin allergy\n\t\t\t
\n\t\t\t
Clindamycin
\n\t\t\t
600mg
\n\t\t\t
20 mg/kg
\n\t\t
\n\t\t
\n\t\t\t
Cephalexin* or cefadroxil
\n\t\t\t
2 gr
\n\t\t\t
50 mg/kg
\n\t\t
\n\t\t
\n\t\t\t
Azithromycin or Clarithromycin
\n\t\t\t
500 mg
\n\t\t\t
15 mg/kg
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tPenicillin allergy and inability for oral intake \n\t\t\t
\n\t\t\t
Clindamycin
\n\t\t\t
600 mg i.m. or i.v.
\n\t\t\t
20 mg i.m. or i.v.
\n\t\t
\n\t\t
\n\t\t\t
Cefazolin
\n\t\t\t
1 gr i.m. or i.v.
\n\t\t\t
50 mg/kg i.m. or i.v.
\n\t\t
\n\t
Table 4.
Antibiotic premedication according to AHA’s recommendations
* Or other first or second generation cephalosporins in equivalent doses for adults and children
Patients awaiting transplantation undergo antibiotic premedication from the moment they are moved into the operation theater. The duration of the antibiotic treatment is usually with a duration of up to 3 days. In the best case scenario the antibiotic intake should be determined on the basis of the bacterial flora present, the kind of transplantation and patient-specific features [107]. For example a kidney transplanted patient may be prescribed Cefazolin and Ampicillin-sulbactam to cope with the uropathogens and staphylococci. In patients with chronic dental infections, frequent or continuous bacteraemia may occur, which in its turn may trigger acute or chronic inflammation in other organs [61].
De Rossi and Glick [27] systematize a few guidelines for a recommended dental approach to patients on hemodialysis. They also follow AHA’s recommendations, but they think that the antibiotic of choice should be Vancomycin, which must be flowed on the day of the dialysis before an invasive dental procedure, since its action on the organism lasts for the next 7 days. What follows is a radical approach with the extraction of the tootth.
With better medical care, the expectations of the patients for better and longer life are justified.
Hemostatic agents
Standard tests for suspected coagulopathy include [45]:
Bleeding time (BT).
Prothrombin time (PT).
Partial thromboplastin time (PTT).
Platelet count (table 8).
INR (International Normalised Ratio).
Lockhart et al. [68] define several points which need to be considered before invasive dental procedure is initiated on patients with CKD. The first issue to consider is the analysis of what is described above, as well as the influence of the platelet count on the expected post-operative bleeding (table 5).
Increased possibility for bleeding during dental manipulation but unusual.
\n\t\t
\n\t\t
\n\t\t\t
25 000–50 000
\n\t\t\t
Severe thrombocytopenia
\n\t\t\t
Expected problematic bleeding Spontaneous bleeding at <10 000
\n\t\t
\n\t\t
\n\t\t\t
<25 000
\n\t\t\t
Life-threatening condition
\n\t\t\t
Invasive procedures only at emergency and blood transfusion
\n\t\t
\n\t
Table 5.
Platelet count and its effect on post-operative bleeding
They define hemostasis in the oral cavity as a multifactorial process, which is not well studied yet. To a greater extent the insufficient use of lab tests may confound the appointed anticoagulation therapy and the risk for the patient could be greater than post-operative bleeding.
Meechan and Greenwood [76] propose that in cases of platelet count lower than 50*109/L an urgent invasive procedure is needed. The latter could be performed after substitute platelet transfusion 30 minutes before operation. In practice this approach is used quite rarely because of the risk of immune sensitization. Patients on hemodialysis undergo heparinisation 3 times a week before procedures, but heparin has a short half-life (around 5 hours), that’s why as a precaution it’s accepted that it is best for any dental procedures to be performed on the day after dialysis [30, 59]. On the other hand, the longer the time since the last dialysis, the greater the chance for prolonged bleeding during invasive dental procedures because of uremia.
As a result of thrombocytic dysfunction, even with relatively good blood indicators, profuse bleeding could be expected during invasive dental procedures [53, 80]. The treatment of these patients requires a preventive strategy for oral and parodontal surgery that includes:
the ability and the knowledge to perform atraumatic surgery;
the use of sutures, compression bandages and local or systemic hemostatic agents. Assuming different reference books that propose different patterns for hemostasis and according to Bulgarian experience in this direction, most frequently used medicaments are as follow:
\n\t\t
\n\t\t
\n\t\t
\n\t\t\t
EAK, amp. 40% 20 ml
\n\t\t\t
I.v. very slow 1 amp.
\n\t\t
\n\t\t
\n\t\t\t
Pamba, amp. 1% 5 ml
\n\t\t\t
I.m., I.v. 1–2 amp./24 h.
\n\t\t
\n\t\t
\n\t\t\t
Vit. K, amp. 1% 1ml
\n\t\t\t
I.m, I.v.
\n\t\t
\n\t\t
\n\t\t\t
Metadiol
\n\t\t\t
5–10 mg oral/24 hours
\n\t\t
\n\t\t
\n\t\t\t
Phytonadione
\n\t\t\t
5–10 mg oral/24 hours
\n\t\t
\n\t\t
\n\t\t\t
Tranexamic acid
\n\t\t\t
10–12,5 mg/kg 2 times a day, p.o.
\n\t\t
\n\t\t
\n\t\t\t
Desmopressin
\n\t\t\t
03 mg/kg i.v. for 30 min single dose
\n\t\t
\n\t\t
\n\t\t\t
Conjugated estrogen
\n\t\t\t
0,6 mg/kg i.v. or 2,5–25 mg p.o. for 5 days
\n\t\t
\n\t
Cryoprecipitates are less frequently used because of the risk of disease transmission [40, 67, 80].
Schematic depiction of the post transplantation period
Dental treatment after transplantation can be differentiated in 3 periods - immediately after transplantation to the 3rd month after transplantation, stable post-transplantation period, and the period of chronic graft rejection [45, 67]. Diaz [54] defines the immediate after transplantation period till the 6th month following the operation.
Through the immediate period the possibility for post-operative complications, dominating opportunistic virus and fungal infections, the risk of acute graft rejection is greater. Therefore dental interference is not advisable, excluding any emergencies [53, 67, 82, 117].
Muzyka et al. [78] and J. B. Epstein [35] find that the most used antifungal agent in the initial treatment plan of surface forms of oral candidiasis is Nystatin, applied locally as well as clotrimazole. Parenteral administration of Amphotericin B is associated with increased nephrotoxicity, especially in combination with cyclosopin or aminoglycoside antibiotics. A diluted parenteral solution of Amphotericin B for mouth rinse is successfully used in USA [15]. Ketoconazole is part of the imidazole group, but in combination with cyclosporine it may lead to increased level of Cyclosporin A [32, 49, 99, 124].
The recommendations for dental treatment in the immediate after-transplantation period are the following:
Avoiding routine dental treatment, and if such is needed, conservative treatment methods should be used;
Meticulous oral hygiene that includes mouth rinse solutions containing chlorhexidine. Djemileva [30] points out that the simultaneous use of toothpastes containing sodium laurylsulfate may inactivate the chlorhexidine which is part of some mouth rinse solutions and gels.
Dental rehabilitation of patients on hemodialysis and transplanted patients would be more successful, if the methods of complex focal diagnostics and treatments are applied. They are non-invasive and provide atraumatic and aseptic work techniques, combining thermal diagnostics and a laser treatment approach.
\n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/48132.pdf",chapterXML:"https://mts.intechopen.com/source/xml/48132.xml",downloadPdfUrl:"/chapter/pdf-download/48132",previewPdfUrl:"/chapter/pdf-preview/48132",totalDownloads:2459,totalViews:1132,totalCrossrefCites:0,totalDimensionsCites:1,totalAltmetricsMentions:10,introChapter:null,impactScore:1,impactScorePercentile:61,impactScoreQuartile:3,hasAltmetrics:1,dateSubmitted:"June 25th 2014",dateReviewed:"November 13th 2014",datePrePublished:null,datePublished:"September 9th 2015",dateFinished:"January 7th 2015",readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/48132",risUrl:"/chapter/ris/48132",book:{id:"4547",slug:"updates-in-hemodialysis"},signatures:"M. Dencheva, E. Deliverska, A. Krasteva, J. Galabov and A. Kisselova",authors:[{id:"32422",title:"Dr.",name:"Asya",middleName:"Zaharieva",surname:"Krasteva",fullName:"Asya Krasteva",slug:"asya-krasteva",email:"asyakrasteva@abv.bg",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"48928",title:"Prof.",name:"Angelina",middleName:null,surname:"Kisselova",fullName:"Angelina Kisselova",slug:"angelina-kisselova",email:"prof_kisselova@yahoo.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Medical University of Sofia",institutionURL:null,country:{name:"Bulgaria"}}},{id:"172716",title:"Associate Prof.",name:"Elitsa",middleName:null,surname:"Deliverska",fullName:"Elitsa Deliverska",slug:"elitsa-deliverska",email:"elitsadeliverska@yahoo.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Medical University of Sofia",institutionURL:null,country:{name:"Bulgaria"}}},{id:"173204",title:"Dr.",name:"Maria",middleName:null,surname:"Dencheva",fullName:"Maria Dencheva",slug:"maria-dencheva",email:"dr.maria.dencheva@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"173205",title:"Dr.",name:"Jordan",middleName:null,surname:"Galabov",fullName:"Jordan Galabov",slug:"jordan-galabov",email:"j.galabov@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Main issues regarding the oral health in patients on hemodialysis and those with kidney transplant",level:"1"},{id:"sec_3",title:"3. Common symptoms at CKD (Chronic Kidney Disease)",level:"1"},{id:"sec_4",title:"4. Intraoral findings typical for patients on hemodialysis and patients with kidney transplant",level:"1"},{id:"sec_4_2",title:"4.1. A dental treatment approach to patients on hemodialysis and transplanted",level:"2"},{id:"sec_5_2",title:"4.2. Dental treatment approaches in the pre- and post-operative periods",level:"2"}],chapterReferences:[{id:"B1",body:'Al Nowaiser, A., V. S. Lucas, M. Wilson, G. L. Roberts, R. S. Trompeter. Oral health and caries related microflora in children during the first three months following renal transplantation. Int J Pediatr Dent, 2004, 14, 2: 118–126 (9).'},{id:"B2",body:'Al Wahadni, A., M. A. Al Omari. Dental diseases in a Jordanian population on renal dialysis. 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What is uremia? Retention versus oxidation. Blood Purif, 2006; 24: 33–38.'},{id:"B122",body:'Villaciaran, J., C. Paya. Prevention of infections in solid organ transplant recipients. Transplant Infectious Disease, 1999; 1: 50–64.'},{id:"B123",body:'Wilson, W., K. Taubert, M. Gewitz et al. Prevention of infective endocarditis. Guidelines from American Heart Association. Circulation, 2007; 115; &NA.'},{id:"B124",body:'Zaiton, H. End stage renal disease: The oral component. BDJ, 2006, 201, 180.'},{id:"B125",body:'Zlatkov, N., Andreev, N. Skin manifestations of internal diseases. Wolkohim, С., 1994, 263.'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"M. Dencheva",address:null,affiliation:'
Department of imaging and oral Diagnostics, Faculty of Dental Medicine, Medical University, Sofia, Turkey
Department of imaging and oral Diagnostics, Faculty of Dental Medicine, Medical University, Sofia, Turkey
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1. Introduction
The measurements and analysis of the variation in gravity over the Earth’s surface have become powerful techniques in the investigation of the subsurface structures at various depths [1]. Where the gravity anomaly is often attributed to the lateral variation in density-contrast and therefore, one of its major applications, being is used as a reconnaissance tool for and mapping the basement rock’s morphology, and its depth below the sedimentary covering of basins. The most challenging problem of ambiguity, for interpreting the potential-field data (gravity and/or magnetic), is still facing the researchers, where the modeling of potential-field data is a non-linear problem. In general, the reference body or source body (i.e., causative body) is imported into the potential model (gravity and/or magnetic), as the initial approximation of the anomaly source, and its parameters are obtained from available geological and geophysical information [2]. Ambiguity in gravity interpretation is inevitable because of the fundamental incompleteness of real observations; it is, however, possible to provide rigorous limits on possible solutions even with incomplete data [3]. Since a unique solution cannot, in general, be recovered from a set of field measurements, geophysical interpretation is concerned either to determine properties of the subsurface that all possible solutions share or to introduce assumptions to restrict the number of admissible solutions [4].
However, a unique solution may be found, when assigning a simple geometrical shape to the causative body [5]. Also, a unique solution can be found by an attempt for treating the problem of ambiguity with a new vision for analysis of the corrected acquired data (measurements) and related it analytically, logically, or mathematically, to its causative sources, as an attempt of the present research.
The newly proposed method is an attempt to reveal and trace the concealed subsurface geological formations’ thicknesses and basement depth at each point of the profile (s), of the Bouguer gravity anomaly map, relatively to the formations’ thicknesses and basement’ rock depth of a prior known in controlling point (e.g., borehole data). Fortunately, almost most of the geological structures can be approximated, by one or more of the available simple geometrical shape models, to represent the causative sources for gravity anomalies. There are several gravity forward techniques to estimate the depth to basement based on rather different approaches that have been proposed before by many authors, such as [6, 7, 8, 9]. The forward modeling of mass distribution is a powerful tool to visualize Free Air and Bouguer gravity anomalies that result from different geological situations [10].
2. The methodology
There is a known fact that any depositions of formations layers were deposited in a basin and were may or not subjected to tectonic, hiatus non-deposition, and/or erosions. Therefore, simply the proposed method is mainly based on that fact to calculate average vertical densities-contrasts for the formation’s layers and the basement rock in that basin, whatever the geological setting of such formation’s layers.
The method is a direct technique for interpreting the Bouguer gravity anomaly in form of profile (s), to calculate the formations’ thicknesses, and formations’ depths of the sediments relatively to the depth of basement rocks, where the deposited rock’ formations are treated as the Bouguer Horizontal Slabs (BHS) or Infinite Horizontal Slabs (IHS), which are vertically stacked in columns and does not rely on the homogeneity or inhomogeneity of densities’ distributions, but only on the average vertical densities-contrasts between each of rock’ formations slab’s in columns and the basement rocks.
Since the Bouguer gravity anomaly correlates with the lateral variation of density of the crustal rocks, a positive or a negative anomaly is created, whenever there is a change in rock density [11]. And also, the Bouguer anomaly is defined upon the datum level of gravity reduction of an arbitrary elevation [12]. Where this correction is taken into account the attraction of masses between a reference elevation often the sea level, and each of an individually measuring stations’ points. In other words, the variation of the Bouguer anomaly should reflect the lateral variation in density, such that a high-density feature in a lower-density medium should give rise to a positive Bouguer anomaly. Conversely, a low-density feature in a higher-density medium should result in a negative Bouguer anomaly [13].
2.1 Infinite horizontal slab equation (IHSE)
The gravity effect or the Bouguer gravity anomaly can be calculated at any point of Cartesian coordinates (x, z) on the surface of the earth or reference measured datum, due to BHS or IHS is given by the Eq. (1) as follows:
gBxz=2πρhGE1
where gB: is the gravity effect or Bouguer gravity anomaly due to slab in m. Gal (10−5 m/s2).
ρ: is the density of the horizontal slab in gm/cm3 (103 kg/m3).
h: is the thickness of the IHS in km (103 m).
G: is the Universal Gravitational Constant (6.67 × 10−11 Nm2/kg2), N: is referring to Newton or force unit.
The Eq. (1) can be rewritten in a modified form for the new method purpose as follows:
gBxz=2πG∑i=1N∆ρ¯i∆ziE2
where ∆ρ¯: is the average vertical density-contrast in gm/cm3 (103 kg/m3).
∆z: is the difference between the depth of top and bottom the IHS in km (103 m).
i: is the index number (i = 1, 2, 3 … N).
N: is the number of rocks ‘formations, and
∆ρ¯=∑i=1NρiN−ρbasementE3
where ∑i=1NρiN: is the average density, and
ρbasement: is the density of basement rock.
In the proposed method, the Infinite Horizontal Slab Equation (IHSE) is used to calculate the gravity effects at the earth’s surface (or any reference datum) for each subsurface rock’ formation that, covering the basement rocks for any sedimentary basin area, and using the IHSE ability, efficiency in the estimating, tracing the formations’ thicknesses (or depth), relative to the underlying basement rocks. By using the prior information of control point (or borehole), through profile (s) line (s) of Bouguer gravity anomaly which represents the vertical cross-section (s) for the area of study.
Simply the idea of the new method is based on the assumption that: the sedimentary rock’ formations covering the basement rocks are the formations deposited individually in form of layers, or a group of HIS, of different densities distributions is being stacked in columns over the basement’s rocks (Figure 1). And hence for any point (1, 2, 3, and 4) at the earth’s surface (or datum), the total gravity effect is the summation of all gravity effects (at point 4) contributed by each individual slab (1, 2, and 3) along the vertical axis of that point at the earth’s surface, were using the average vertical density-contrast (∆ρ¯), between each formation’s slab individually with basement rocks at points 1, 2, 3, and at point 4. Here is the new keen point of view that is: the average vertical densities’-contrasts between the stacked vertically of the IHSs and basement rocks are used in inversion calculations instead of densities’-contrasts between IHSs and their surrounding rock materials, through the importance for this concept, it being became possible for some extent to separate of Bouguer gravity anomaly to its components that representing probably of all possible rock’ formations overlying the basement rocks, according to the prior known information about those rock’ formations (thicknesses, depths, and densities), either from subsurface (borehole, etc.) or the surface geology (field, etc.).
Figure 1.
Bouguer gravity anomalies comparable to all possible rock’ formations overlying the basement rocks.
2.2 Building two models for formations densities’ distributions
To achieve the objective of the newly proposed method, the parameters of the rock’ formations of depositions covering the basement rocks for study areas such as their thicknesses, depths, and their densities, should be prior known at least, in one controlling points (borehole data, geophysical data, etc.), and thus such parameters (formations’ thicknesses, and densities), can be probably estimated and traced through the Bouguer gravity map’s profile (s) from the known point to the other unknown points of the area of study. Hence, a two models for formations density distributions building to prove that, the heterogeneities or homogeneities of formations density distributions do not affect the resultants of depth calculation from gravity effects of the IHSs as follows.
2.2.1 Heterogeneity formations density distributions (model 1)
As shown in Figure 2, the proposed model is consisting of a number (N) of deposited layers or formations, deposited according to Walther’s Law of deposition of the heterogeneous Juxtaposition of depositions.
Figure 2.
The model consists of five formations (N = 5), and densities are heterogeneously distributed.
For simplification, assuming the model is consisting of five formations (N = 5), and densities (gm/cm3) from top to bottom are (ρ(N), ρ(N-1), ρ(N-2), ρ(N-3), and ρ(N-4)) with thicknesses (m) are (h1, h2, h3, h4, and h5), respectively. Therefore, the average vertical densities from the top will be as follows:
ρv1N=ρN/N−4E4
ρv1N−1=ρN+ρN−1/N−3E5
ρv1N−2=ρN+ρN−1+ρN−2/N−2E6
ρv1N−3=ρN+ρN−1+ρN−2+ρN−3/N−1E7
ρv1N−4=ρN+ρN−1+ρN−2+ρN−3+ρN−4/NE8
Therefore, the average vertical densities for the above modeling is written in form of a row matrix (for the Matlab code purpose) as follows:
ρv1¯=ρv1Nρv1N−1ρv1N−2ρv1N−3ρv1N−4E9
then the average vertical densities-contrasts are:
∆ρv1¯i=ρv1¯i−ρbasementE10
And the gravity effect for model 1, is given as follows:
gBM1:i=2πG∆ρv1¯iziE11
so that the depths can obtained by the following Eq. (12):
ZM1:i=abs(gBM1i/2πG∆ρv1¯E12
where gBM1:i are the gravity effects of all points x(i) i.e. all vertical points (i = 1,2,3,4,5), and ZM1:iare the inverted depths at the same vertical points, and also the thicknesses hM1:i have obtained from the following equation:
hM1:=∑i−1NZm1iE13
2.2.2 Homogeneity formations density distributions (model 2)
As shown in Figure 3, the proposed model is consisting of a number (N) of deposited layers or formations, deposited according to Steno’s Law of superposition or Depositional History, Principle of homogeneous Juxtaposition of depositions.
Figure 3.
The model consists of five formations (N = 5), and densities are homogeneously distributed.
For simplification, assuming the model is consisting of five formations (N = 5), and densities (gm/cm3) from top to bottom are (ρ(N), ρ(N-1), ρ(N-2), ρ(N-3), and ρ(N-4)) with thicknesses (m) are (h1, h2, h3, h4, and h5), respectively. Therefore, the average vertical densities from the top will be as follows:
ρv2N=ρN/N−4E14
ρv2N−1=ρN+ρN−1/N−3E15
ρv2N−2=ρN+ρN−1+ρN−2/N−2E16
ρv2N−3=ρN+ρN−1+ρN−2+ρN−3/N−1E17
ρv2N−4=ρN+ρN−1+ρN−2+ρN−3+ρN−4/NE18
Therefore, the average vertical densities for the above modeling is written in form of a row matrix (for the Matlab code purpose) as follows:
ρv2¯=ρv2Nρv2N−1ρv2N−2ρv2N−3ρv2N−4E19
then the average vertical densities-contrasts are:
∆ρv2¯i=ρv2¯i−ρbasementE20
And the gravity effect for model 1, is given as follows:
gBM2:i=2πG∆ρv2¯iziE21
so that the depths can obtained by the following Eq. (22):
ZM2:i=abs(gBM2i/2πG∆ρv2¯E22
where gBM2:i are the gravity effects of all points x(i) i.e. all vertical points (i = 1,2,3,4,5), and ZM2:iare the inverted depths at the same vertical points, and also the thicknesses hM2:i have obtained from the following equation:
hM2:=∑i−1NZm2iE23
The goal of geophysical inversion (or interpretation) is to produce models whose response matches observations with noise levels [14]. It is known that the gravity measuring tools are very sensitive only to lateral changes in the causative source, therefore there are several models, that give solutions for the observed profile (ambiguities problem). Even with, this problem the gravity anomalies often are modeled by simple geometrical shapes, (or arbitrary shapes, Talwani et al. 1960). As in all geophysical inversions, there will be ambiguities, notably between density and layer depth, and many of these were pointed out, by [15, 16]. Geophysical inversion by iterative modeling involves fitting observations by adjusting model parameters. Both seismic and potential-field model responses can be influenced by the adjustment of the parameters of rock properties [14].
The new technique in the present research is based on two synthetic models and being built first, consistent, and constrained with real data of known controlling points (or borehole), then applying the algorithm of the solved equations to determine the formations’ thicknesses, the basement rocks depth, and tracing them relatively to the formations’ thicknesses and depth of basement rocks at the point of a prior known real data, through the profile line of Bouguer anomaly map’s covering the area of sedimentary basin.
2.3 Material
The proposed new 2D semi-inversion technique is carried out for any sedimentary basin area, by using a proper corrected Bouguer gravity anomaly map, with a prior known controlling point (s) of the formation’s densities and thicknesses (borehole), in addition, using an Excel, Surfer-15 software, and Matlab software for applications the written program for the proposed technique.
2.3.1 Bouguer gravity map
A digitizing process is carried out, for Bouguer’s gravity anomaly map that covers the investigated area, processing, and re-contouring with proper contour- intervals Then re-mapping with the location of the prior known controlling point (s) or borehole (s) locations, by using the Surfer-15 software to manipulate and dealing with data easily through the Excel and Matlab software. Thus, then a profile is taken along the map, in digitized form (file with two coordinates (x, gB)) that is later used for algorithm code application in Matlab.
2.3.2 Calculation gravity effects theoretically, with heterogeneous test model 1
The previously, the hypothetical depositional basin model-1 (Figure 2) consists of five formations layered slab deposited according to Walther’s Law of deposition. Therefore, the formations are filling-basin in five-rows (N = 5), and nine- columns (juxtaposing vertical columns). The formations’ thicknesses, depths, and densities are given, as seen in Table 1. Where ∆ρv1(i), represents here; the average vertical density-contrast for formations, stacked in nine columns of rows numbers N-4, N-3, N-2, N-1, and N respectively, and symmetrically repeated around the maximum formation’s thicknesses (central basin where N = 4). By using the equations from (8) to (13) using the Matlab code, the summation values of the vertical effects for stacked slab’ columns, at each point at x(i)-coordinates (x(i) = −4, −3, −2, −1, 0, 1, 2, 3, and 4.), are calculated; as well as the formation’s thicknesses and depths, are obtained and summarized by following, Table 2, where, the formation depths’ calculated are: 0.5, 1.5, 1.8, 3.5, and 4.0 km, are corresponding to the thicknesses (h(i)) of each formation sediments in the filling-basin, densities (1.900, 2.350, 2.450, 550, and 2.75 gm/cm3), and the calculated gravity effect curve of the hypothetical sedimentary basin, representing model-1 is seen (Figure 4). The depth of the basement is assumed as 4.5 km, and its density is 2.670 gm/cm3.
Formation
Row No.
Z (km)
h (km)
P (gm/cm3)
V.Av1.ρv1(i) (gm/cm3)
Δρv1(i) (gm/cm3)
A
N - 4
0.5
0.5
1.90
2.7500
0.0800
B
N - 3
1.5
1.0
2.35
2.6500
−0.0200
C
N - 2
1.8
0.3
2.45
2.5833
−0.0867
D
N -1
3.5
1.7
2.55
2.5250
−0.1450
E
N
4.0
0.5
2.75
2.4000
−0.2700
Basement
4.5
2.67
Table 1.
Data for hypothetical theoretical horizontal slab model (1) of heterogeneous densities distribution.
X (km)
−4
−3
−2
−1
0
1
2
3
4
Av.ρv1(i) (gm/cm3)
2.7500
2.5500
2.5167
2.5250
2.4000
2.5250
2.5167
2.5500
2.7500
Δρv1(i) (gm/cm3)
0.0800
−0.1200
−0.1533
−0.1450
−0.2700
−0.1450
−0.1533
−0.1200
0.0800
gB_M1 (m. Gal)
0.001676
−0.00754
−0.01157
−0.02127
−0.04526
−0.02127
−0.01157
−0.00754
0.001676
h_cal1 (km)
0.5
1.5
1.8
3.5
4
3.5
1.8
1.5
0.5
z_cal1 is calculated average depth of basement ((0.5 + 1.5 + 1.8 + 3.5 + 4)/5) × 2 = 4.5200 km.
Table 2.
Theoretical calculation for infinite horizontal slab model (1) for basin filling of five-sedimentary formations overlying basement rocks.
Figure 4.
The calculated gravity effect curve of the hypothetical sedimentary basin, representing model-1.
2.3.3 Calculation gravity effects theoretically, with homogenous test model 2
The previously, hypothetical depositional basin model-2 (Figure 3), consists of the same as the previous five formations layered slab deposited according to Walther’s and Steno’s superposition or geohistory concepts. Therefore, the formations are filling-basin in five rows (N = 5), and nine-columns (juxtaposing vertical columns). The formations’ thicknesses, depths, and densities are given, as seen in Table 3. Where ∆ρv2(i), represents here; the average vertical density-contrast for formations, stacked in nine columns of rows numbers N-4, N-3, N-2, N-1, and N respectively, and symmetrically repeated around the maximum formation’s thicknesses (central basin where N = 4). By using the equations from (14) to (23) using the Matlab code, the summed values of the vertical effects for stacked slab’ columns, at each point at x(i)-coordinates (x(i) = −4, −3, −2, −1, 0, 1, 2, 3, and 4.), are calculated; as well as the formation’s thicknesses and depths, are obtained and summarized by following, Table 4, where the formations depths’ calculated are: 0.5, 1.5, 1.8, 3.5, and 4.0 km, are corresponding to the thicknesses (h(i)) of each formation sediments in the filling-basin, densities (1.900, 2.350, 2.450, 550, and 2.75 gm/cm3), and the calculated gravity effect curve of the hypothetical sedimentary basin, representing model-2 is seen (Figure 5). The depth of the basement is assumed as 4.5 km, and its density is 2.670 gm/cm3.
Formation
Row No.
Z (km)
h (km)
P (gm/cm3)
V.Av2.ρv2(i) (gm/cm3)
Δρv2(i) (gm/cm3)
A
N - 4
0.5
0.5
1.90
2.7500
0.0800
B
N - 3
1.5
1.0
2.35
2.5500
−0.1200
C
N - 2
1.8
0.3
2.45
2.5167
−0.1533
D
N -1
3.5
1.7
2.55
2.5250
−0.1450
E
N
4.0
0.5
2.75
2.4000
−0.2700
Basement
4.5
2.67
Table 3.
Data for hypothetical theoretical horizontal slab model (2) of homogenous densities distribution.
X (km)
−4
−3
−2
−1
0
1
2
3
4
Av.ρv2(i) (gm/cm3)
2.7500
2.5500
2.5167
2.5250
2.4000
2.5250
2.5167
2.5500
2.7500
Δρv2(i) (gm/cm3)
0.0800
−0.1200
−0.1533
−0.1450
−0.2700
−0.1450
−0.1533
−0.1200
0.0800
gB_M2 (m. Gal)
0.001676
−0.00754
−0.01157
−0.02127
−0.04526
−0.02127
−0.01157
−0.00754
0.001676
h_cal2 (km)
0.5
1.5
1.8
3.5
4
3.5
1.8
1.5
0.5
z_cal2 is calculated average depth of basement ((0.5 + 1.5 + 1.8 + 3.5 + 4)/5) × 2 = 4.5200 km.
Table 4.
Theoretical calculation for infinite horizontal slab model (2) for basin filling of five- sedimentary formations overlying basement rocks.
Figure 5.
The calculated gravity effect curve of the hypothetical sedimentary basin, representing model-2.
3. Implement the method in cases of real data
3.1 Abu Roash dome area, West Cairo, Egypt (case 1)
The famous Abu Roash Area located between Latitudes 29° 58′ and 30° 03′ N, and longitudes 30° 59′ 10′′ and 31° 05′ 19″ E. The Abu Roash district is located 10 km to the southwest of Cairo and is geologically significant because of its surface exposure of Upper Cretaceous rocks [17]. Its name (Abu Roash) is derived from the neighboring village of Abu Roash. The Abu Roash Dome Area constitutes a complex Cretaceous sedimentary succession with outstanding tectonic features, as shown in Figure 6, modified after [18].
Figure 6.
The location geological setting map of Abu Roash dome area, West Cairo, Egypt.
3.1.1 Geological setting
The Abu-Roash Dome Area was formed as a result of its location crossing by the western end of the Syrian-arc folds of which extends from northern Egypt to Syria (Laramide orogeny took place in Upper Cretaceous—Lower Tertiary), where the Upper Cretaceous rock formations in the northwestern desert of Egypt had undergone several different tectonic regimes.
The interest in basement depth estimation for the Abu Roash Dome Area was made by several authors’ and researchers’ gravitational potential studies, such as [19, 20, 21]. It is worthily mentioning that, the calculated basement depths calculated by the aforementioned authors’ methods, where the depths were estimated from the used modeled body center of a sphere, an infinite long horizontal cylinder, or a semi-infinite vertical cylinder, while in the present method the basement depths are estimated from the top of an infinite horizontal slab.
3.1.2 Procedures and results
The available Bouguer gravity anomaly map (GPC, 1984), covering the Abu Roash Dome Area, was digitized and re-contouring with a proper equal contour interval of 2 m. Gal (Figure 7a). The Abu Roash-1well, after [22], was used for the interesting formations’ depths and corresponding densities were summed in Table 5 and were used for building the two hypothetical models 1 and 2 for the Abu Roash Dome Area, with heterogeneous and homogeneous formations’ densities distributions, as respectively, as shown in Figures 8 and 9. For the two models, the theoretical calculations were carried out for thicknesses, averages’ vertical densities the averages’ vertical densities-contrasts, gravity effect, and calculated thicknesses corresponding to each of the selected five formations, that consists of the Abu Roash Dome area, and were summarized in Tables 6 and 7.
Figure 7.
The bouguer gravity anomaly map of Abu Roash dome area (modified after GPC, 1984).
Abu Roash-1 well data (modified after El-Malky, 1985), where the elevation = 92 m and total depth = 1918 m.
Densities calculated for lithologic compositions of each formation.
Figure 8.
The hypothetical model 1 for the Abu Roash dome area, with heterogeneous formations’ densities distributions.
Figure 9.
The hypothetical model 2 for the Abu Roash dome area, with homogeneous formations’ densities distributions.
Formation
z (km)
h (km)
ρ (gm/cm3)
ρv1 (gm/cm 3)
Δρv1 (gm/cm3)
gB_M1 (m. Gal)
h_M1 (km)
Pleistocene
0.092
0.069
1.980
1.9800
−0.6900
−0.0020
0.0690
Cenomanian
0.161
0.446
2.480
2.2300
−0.4400
−0.0082
0.4460
Lower Cretaceous
0.607
0.152
2.610
2.3567
−0.3133
−0.0020
0.1520
Jurassic
0.759
0.807
2.430
2.3750
−0.2950
−0.0100
0.8070
Paleozoic
1.566
0.336
2.380
2.3760
−0.2940
−0.0041
0.3360
Basement
1.902
2.670
Table 6.
Abu Roash dome area data and theoretical calculation parameters for model (1).
Formation
z (km)
h (km)
ρ (gm/cm3)
Pv2 (gm/cm3)
Δρv2 (gm/cm3)
gB_M2 (m. Gal)
h_M2 (km)
Pleistocene
0.092
0.069
1.980
1.9800
−0.6900
−0.0020
0.0690
Cenomanian
0.161
0.446
2.480
2.2300
−0.4400
−0.0082
0.4460
Lower Cretaceous
0.607
0.152
2.610
2.3567
−0.3133
−0.0020
0.1520
Jurassic
0.759
0.807
2.430
2.3750
−0.2950
−0.0100
0.8070
Paleozoic
1.566
0.336
2.380
2.3760
−0.2940
−0.0041
0.3360
Basement
1.902
2.670
Table 7.
Abu Roash dome area data and theoretical calculation parameters for model (2).
A digitizing profile along line AA’ was carried out for Bouguer gravity anomaly map for Abu Roash Dome Area (Figure 7b), with equal intervals 2.09 km., then saved as Excel’s file (AbuRoash_aa_slab.xlsx), of two coordinates (x, gB). This file later will be used for data calculating, tracing the formations’ thicknesses, and depth’s basement rocks along the profile line AA’, by applying the proposed algorithm with Matlab’s codes. In the final step, it found that the calculations for the two models along the profile line AA’ are given the same results, as expected since the calculated average vertical density-contrasts are the same for the two models. The results for the two models of Abu Roash Dome Area are summarized in Tables 8 and 9 representing formations thicknesses, and depths, respectively, and represented graphically as shown in (Figures 10 and 11).
x
gB
h(l)
h(2)
h(3)
h(4)
h(5)
H
0
−8.38956
0.606749
0.386912
0.275528
0.259407
0.258528
1.787124
2.083045
−8.26929
0.598051
0.381366
0.271578
0.255688
0.254822
1.761504
4.166091
−8.15221
0.589583
0.375966
0.267733
0.252068
0.251214
1.736565
6.249136
−8.03704
0.581253
0.370654
0.263951
0.248507
0.247664
1.71203
8.332181
−7.92261
0.572978
0.365377
0.260193
0.244969
0.244138
1.687655
10.41523
−7.80992
0.564828
0.36018
0.256492
0.241484
0.240666
1.66365
12.49827
−7.6972
0.556676
0.354982
0.25279
0.237999
0.237192
1.63964
14.58132
−7.58206
0.548348
0.349671
0.249008
0.234439
0.233644
1.615111
16.66436
−7.46689
0.540019
0.34436
0.245226
0.230878
0.230095
1.590578
18.74741
−7.34443
0.531163
0.338713
0.241204
0.227091
0.226322
1.564493
20.83045
−7.21859
0.522062
0.332909
0.237072
0.2232
0.222444
1.537686
22.9135
−7.0877
0.512596
0.326873
0.232773
0.219153
0.21841
1.509806
–
–
–
–
–
–
–
–
414.526
−8.8006
0.636476
0.405869
0.289028
0.272117
0.271194
1.874683
416.6091
−8.77901
0.634914
0.404873
0.288318
0.271449
0.270529
1.870082
416.6091
−8.77901
0.634914
0.404873
0.288318
0.271449
0.270529
1.870082
0.473742
0.302097
0.215129
0.202542
0.201855
1.387877
1.395366
Table 8.
The thicknesses of formation: Along profile AA’ in kilometers (H = Σh(i). i = 1, 2, 3, 4, and 5), Abu Roash dome area.
x
gB
z(1)
z(2)
z(3)
z(4)
z(5)
Z
0
−8.38956
1.787124
1.787124
1.787124
1.787124
1.787124
1.787124
2.083045
−8.26929
1.761504
1.761504
1.761504
1.761504
1.761504
1.761504
4.166091
−8.15221
1.736565
1.736565
1.736565
1.736565
1.736565
1.736565
6.249136
−8.03704
1.71203
1.71203
1.71203
1.71203
1.71203
1.71203
8.332181
−7.92261
1.687655
1.687655
1.687655
1.687655
1.687655
1.687655
10.41523
−7.80992
1.66365
1.66365
1.66365
1.66365
1.66365
1.66365
12.49827
−7.6972
1.63964
1.63964
1.63964
1.63964
1.63964
1.63964
14.58132
−7.58206
1.615111
1.615111
1.615111
1.615111
1.615111
1.615111
16.66436
−7.46689
1.590578
1.590578
1.590578
1.590578
1.590578
1.590578
18.74741
−7.34443
1.564493
1.564493
1.564493
1.564493
1.564493
1.564493
20.83045
−7.21859
1.537686
1.537686
1.537686
1.537686
1.537686
1.537686
–
–
–
–
–
–
–
–
416.6091
−8.77901
1.870082
1.870082
1.870082
1.870082
1.870082
1.870082
416.6091
−8.77901
1.870082
1.870082
1.870082
1.870082
1.870082
1.870082
1.388458
1.388458
1.388458
1.388458
1.388458
1.387877
1.388458
Table 9.
The depths of formations thickness ‘along profile AA’ in biometers (Z = Σz(i),i = 1, 2, 3, 4 and 5), Abu Roash dome area.
Figure 10.
The resulted inversion formation’ thicknesses along profile AA’ of Bouguer map (Figure 7).
Figure 11.
The resulted inversion basement rock along profile AA’ of Bouguer map (Figure 7).
3.1.3 Interpretation of data results
From Table 8, it was found that the range of formations thicknesses’ (minimum to maximum) varying along the profile direction AA’ (Figure 10), as follows:
The Pleistocene formation thicknesses range (0.24145–0.71413 km).
The Cenomanian formation thicknesses range (0.15397–0.45539 km).
The Lower Cretaceous formation thicknesses range (10964–0.32429 km).
The Jurassic formation thicknesses range (0.10323–0.30532 km).
The Paleozoic formation thicknesses range (0.10288–0.30428 km).
From Table 7, the basement depth along the profile line AA’ (Figure 11), was determined as follows:
The maximum value of average depth (last column in Table 9), equal to 2.1034 km, corresponds to the Bouguer anomaly value of about −9.8743 m. Gal, and the minimum value of the last column, equal to 0.7116 km, corresponds to the Bouguer anomaly value of about −3.3385 m. Gal. Therefore, the average basement depth value is 1.40728 km, corresponds to the average Bouguer anomaly −6.6064, this is comparable with depth 1.916 km corresponds to Bouguer anomaly −5.5 m. Gal according to [23]. The calculated basement depths along profile line AA’, showed more or fewer values than actual drilled depth (1.902 km), which may be attributed to the lithologic change in the basement rocks, the above overlying sediment thicknesses, and the local faults are indicated as noses on the depths’ curve (Figure 11).
The Abu Roash Dome depth of value about 2.1 km is obtained by proposed method, that was to some extent agrees with the results obtained from drilling information (1.9 km; after [23], and a S-Curves method of depth determination (1.91 km; after [24]).
3.2 Humble salt dome in Harries County, Texas USA (case 2)
The gravimetric survey, with its sensitivity to variations in density-contrast among the subsurface structures, has been helpful in discovering and locating salt dome formations common to the Gulf Coast, of the USA.
3.2.1 Geological setting
The salt domes considering interesting as a source producing oils, minerals like Sulfur, Salts, and recently are used as burial locations for waste disposal of nuclear materials. Salt domes are common in the Gulf Coast area of Texas and Louisiana as well as in the Gulf of Mexico. The Gulf of Mexico basin began forming in the late Triassic as an intracontinental extension within the North American plate [25].
Salt was accumulated in the Jurassic period and geologically identified as the Louann Salt (mother source), which is a very thick deposit of salt known as halite composed of sodium chloride but with smaller amounts of sulfate, halides, and borates. The salt was followed by carbonate deposition during the Late Jurassic and Cretaceous, and clastic deposits during the Cenozoic [26]. With the deposition of additional sediments on top of this salt, it was buried to over 20,000 feet (6.096 km) and sometimes as deep as 40,000 feet (12.192 km) in the Deep-Water Gulf of Mexico.
The Humble Salt Dome in Harris County, Texas, USA, is one of the interiors of the Gulf Coastal Plain (Figure 12), and it is more than 20,000 feet (6.096 km) in diameter and less than 2000 feet (0.6096 km) below the surface.
Figure 12.
The location of humble salt dome referred in red circle on depth map (contours in feet).
The Humble Salt Dome estimation depth has been subjected to studies from several authors such as [21, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38]. Also, it is worthily mentioning that the calculated salt dome depths calculated by the aforementioned authors’ methods, depths were estimated from being considering the shape modeled salt body’s center either of a sphere, an infinite long horizontal cylinder, or a semi-infinite vertical cylinder, while in the present method the salt’s depths are related to basement rocks depths’ and are being estimated from the top of an infinite horizontal slab.
3.2.2 Procedures and results
The available Bouguer gravity anomaly map of Humble Salt Dome, Harris County, Texas, USA Area (After [27]), is digitized and re-contouring with a proper equal contour interval of 2 m. Gal (Figure 13a), where the gravity anomalies range between −9 m. Gal at the northeastern part of the map and more slightly of the value −22 m. Gal, at the center of Humble Salt Dome.
Figure 13.
The bouguer gravity anomaly map of humble salt dome (modified after Nettleton 1976).
The stratigraphic of formations, depths, thicknesses, and densities, as a controlling-point are obtained (after, [39]), were summed in Table 10 and was used for building the two hypothetical models 1 and 2 for the Humble Salt Dome. model (1) with heterogeneous formations’ densities distributions and model (2) with homogeneous formations’ densities distributions, as respectively shown (Figures 14 and 15). For the two models, the theoretical calculations were carried for thicknesses, averages’ vertical densities the averages’ vertical densities-contrasts, gravity effect, and calculated thicknesses corresponding to each of the selected five formations, which consists of the Humble Salt Dome, and was summarized in Tables 10 and 11.
Data information for control-point of humble salt dome (modified after, Okocha, 2017).
Densities are calculated for lithologic compositions of each formation.
Figure 14.
The hypothetical model 1 for the humble salt dome, with heterogeneous formations’ densities distributions.
Figure 15.
The hypothetical model 2 for the humble salt dome, with homogeneous formations’ densities distributions.
Formation
z (m)
h (m)
ρ (gm/cm3)
ρv1 (gm/cm3)
Δρv1 (gm/cm3)
gB_M1 (m. Gal)
h_M1 (m)
A
182.88
182.880
2.51
2.5100
−0.4400
−0.0253
1.3716
B
1554.48
1371.600
2.67
2.5900
−0.3600
−0.0041
0.27432
C
1828.8
274.320
2.7
2.4950
−0.4550
−0.0105
0.54864
D (Salt)
2377.44
548.640
2.1
2.2025
−0.7475
−0.0258
0.82296
Basement
3078
2.95
Table 11.
Humble salt dome and theoretical calculation parameters for model (1).
A digitizing profile along line AA’ was carried out for Bouguer gravity anomaly map for Humble Salt Dome (Figure 14b), with equal intervals 0.35253 km., where the profile AA’ is about 30.5 km in length. Then the digitized values are saved as Excel’s file (humble_aa_slab.xlsx), of two coordinates (x, gB), where the file was later used for calculating, tracing the formations’ thicknesses, and depth’s basement rocks along the profile line AA’, by applying the algorithm of the proposed code with Matlab’s. In the final step, it found that the calculations for the two models along the profile line AA’ are given the same results, as expected since the calculated average vertical density-contrasts is the same for the two models. The results for the two models of Humble Salt Dome are summarized in Tables 12 and 13 representing formations thicknesses, and depths, respectively, and represented graphically as shown in (Figures 16 and 17).
Formation
z (m)
h (m)
ρ (gm/cm3)
Pv2 (gm/cm3)
Δρv2 (gm/cm3)
gB_M2 (m. Gal)
h_M2 (m)
A
182.88
182.880
2.51
2.5100
−0.4400
−0.0253
1.3716
B
1554.48
1371.600
2.67
2.5900
−0.3600
−0.0041
0.27432
C
1828.8
274.320
2.7
2.4950
−0.4550
−0.0105
0.54864
D (Salt)
2377.44
548.640
2.1
2.2025
−0.7475
−0.0258
0.82296
Basement
3078
2.95
Table 12.
Humble salt dome and theoretical calculation parameters for model (2).
x
gB
h(1)
h(2)
h(3)
h(4)
H
0
−15.30482343
0.706
0.577
0.730
1.199
3.211
2.311662826
−15.27975324
0.704
0.576
0.728
1.197
3.206
4.623325652
−15.25370612
0.703
0.575
0.727
1.195
3.200
6.934988478
−15.22756542
0.702
0.574
0.726
1.193
3.195
9.246651304
−15.20155964
0.701
0.573
0.725
1.191
3.189
11.55831413
−15.17557184
0.700
0.572
0.723
1.189
3.184
13.86997696
−15.14762043
0.698
0.571
0.722
1.186
3.178
16.18163978
−15.11822282
0.697
0.570
0.721
1.184
3.172
18.49330261
−15.0881731
0.696
0.569
0.719
1.182
3.166
20.80496543
−15.05724459
0.694
0.568
0.718
1.179
3.159
23.11662826
−15.02432933
0.693
0.567
0.716
1.177
3.152
25.42829108
−14.98468037
0.691
0.565
0.714
1.174
3.144
–
–
–
–
–
–
–
460.0209024
−9.891211115
0.456
0.373
0.472
0.775
2.075
462.3325652
−9.893079595
0.456
0.373
0.472
0.775
2.076
462.3325652
−9.893079595
0.456
0.373
0.472
0.775
2.076
134.925
110.393
139.525
229.219
3.039908
3.039908
Table 13.
The thickness of formations along profile AA’ in kilometers (H = Σh(i), i = 1, 2, 3, 4, and 5), humble salt dome.
Figure 16.
The resulted inversion formation’ thicknesses along profile AA’ of bouguer map (Figure 13).
Figure 17.
The resulted inversion basement rock along profile AA’ of bouguer map (Figure 13).
3.2.3 Interpretation of data results
From Table 12, it was found that the range of formations thicknesses (minimum to maximum) varying along the profile direction AA’ (Figure 16), as follows:
The A-formation thicknesses range (0.453–1.035 km).
The B-formation thicknesses range (0.371–0.847 km).
The C-formation thicknesses range (0.469–1.070 km).
The D (Salt)-formation thicknesses range (0.770–1.758 km).
From Table 13, the basement depth along the profile line AA’ (Figure 9), was determined as follows:
The maximum value of average depth (last column in Table 13), equal to 4.70952 km, corresponds to the Bouguer anomaly value of about −22.437979 m. Gal (near the center of Salt Dome anomaly), and the minimum value of the last column, equal to 2.06245 km, corresponds to the Bouguer anomaly value of about −9.826328 m. Gal (near the edges of bounded the Salt Dom anomaly). Therefore, the average depth to the center of the Humble Salt Dome is about 3.386 km, corresponds to the Bouguer anomaly of about −16.128 m. Gal.
The Humble Salt Dome depth of value about 4.71 km is obtained by proposed method, that was agrees very well with the results obtained from drilling, seismic information (4.97 km; after [27]), and a simple method of depth determination by using shape factor (4.85 km; after [21]).
4. Discussion and conclusions
The present research represents a new “semi-inversion” method for calculating, and tracing formations’ thicknesses and basement rocks depths, for deposition basin, relatively to a prior known control-point (s) or borehole (s), throughout profile (s) line (s) of Bouguer gravity anomaly map that connecting with the controlling-point (s). The present technique is to mimic to some extent tracing formations from borehole data to the seismic cross-section, in the seismic interpretation process. The resulting thicknesses and/or depths for profile (s) line (s) of Bouguer map, covering any being investigated area might be reused again to form grids for any interesting formation concerning the subsurface. Theoretical and field examples reveal the goodness and the efficiency of the method presented. Moreover, the method can be developed and used to help with planning seismic surveys.
4.1 The most important of advantages and disadvantages of proposed method
The new method has several advantages, more than other traditional separation methods. The most important is its capability for separation of Bouguer gravity anomaly above any depositional basin to directly its formations layers, and tracing them from a known point. But in the other methods it being separate only components of regional (basement rock or deeper) and residual (sediments rocks or shallower). On the other hand, side, the method is considered a pioneer theoretically, but still need an effort to develop and optimize of the Matlab Programming code, to be more efficient, saving time, and money in practical application.
Acknowledgments
The author sincerely first thanks in advance to Dr. Karmen Daleta, Author Service Manager, for his kindest invitation, his follow during revision, Dr. Editor-Chief, Editors, Publishing Processor Manager, for helping, and directing during writing this paper. The gratitude extends to Prof. Dr. Khaled Essa for invitation and acceptance for sharing in IntechOpen-Chapter, and for his encouragement. Also, gratitude extended to my family especially my wife, for providing a good environment for carrying for this work.
%Semi-Inversion_Finite_Slab_Model
% the method is depending on the concepts of Walther\'s Law of deposition
% and the Steno\'s Law of superposition of the juxtaposed columns of deposition
clc; % Clear the command window.
close all; % Close all figures (except those of in tool.)
clear; % Erase all existing variables. Or clear it if you want.
workspace; % Make sure the workspace panel is showing.
G = 6.67e-3; % universal gravitational constant (6.67e-3);
pi = (22/7); % circle D/R ratio or solid angle.
format long % for accurate decimal values
% gz in m. Gal//G = 6.67e-11//density contrast in (kg/m.^3)// (x, z, R) in (m)
ylabel(\' calculated z_calM2 Model (2) thickness in (km)\');
title(\'calculated depth using slab model\')
\n',keywords:"Bouguer, sedimentary cover, slab, relatively thicknesses, basement",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/81073.pdf",chapterXML:"https://mts.intechopen.com/source/xml/81073.xml",downloadPdfUrl:"/chapter/pdf-download/81073",previewPdfUrl:"/chapter/pdf-preview/81073",totalDownloads:17,totalViews:0,totalCrossrefCites:0,dateSubmitted:"June 12th 2021",dateReviewed:"November 11th 2021",datePrePublished:"May 10th 2022",datePublished:null,dateFinished:"April 2nd 2022",readingETA:"0",abstract:"The workers and researchers in the field of gravity exploration methods, always dream that it is possible one day, to be able to separate completely the Bouguer gravity anomalies and trace rock’ formations, and their densities distribution from a prior known control points (borehole) to any extended distance in the direction of the profile lines-it seems that day become will soon a tangible true! and it becomes possible for gravity interpretation methods to mimic to some extent the 2D seismic interpretation methods. Where, the present chapter is dealing a newly 2D semi-inversion, fast, and easily applicable gravitational technique, based on Bouguer gravity anomaly data. It now becomes possible through, Excel software, Matlab’s code, and a simple algorithm; separating the Bouguer anomaly into its corresponding rock’ formations causative sources, as well as, estimating and tracing its thicknesses (or depths) of sedimentary formations relative to the underlying basement’s structure rocks for any sedimentary basin, through using of profile(s) line(s) and previously known control points. The newly proposed method has been assessed, examine, and applied for two field cases, Abu Roash Dome Area, southwest Cairo, Egypt, and Humble Salt Dome, USA. The method has demonstrated to some extent comparable results with prior known information, for drilled boreholes.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/81073",risUrl:"/chapter/ris/81073",signatures:"D. M. Abdelfattah",book:{id:"10759",type:"book",title:"Gravitational Field",subtitle:null,fullTitle:"Gravitational Field",slug:null,publishedDate:null,bookSignature:"Prof. Khalid S. Essa",coverURL:"https://cdn.intechopen.com/books/images_new/10759.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-83969-753-1",printIsbn:"978-1-83969-752-4",pdfIsbn:"978-1-83969-754-8",isAvailableForWebshopOrdering:!0,editors:[{id:"102766",title:"Prof.",name:"Khalid S.",middleName:null,surname:"Essa",slug:"khalid-s.-essa",fullName:"Khalid S. Essa"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. The methodology",level:"1"},{id:"sec_2_2",title:"2.1 Infinite horizontal slab equation (IHSE)",level:"2"},{id:"sec_3_2",title:"2.2 Building two models for formations densities’ distributions",level:"2"},{id:"sec_3_3",title:"2.2.1 Heterogeneity formations density distributions (model 1)",level:"3"},{id:"sec_4_3",title:"2.2.2 Homogeneity formations density distributions (model 2)",level:"3"},{id:"sec_6_2",title:"2.3 Material",level:"2"},{id:"sec_6_3",title:"2.3.1 Bouguer gravity map",level:"3"},{id:"sec_7_3",title:"Table 1.",level:"3"},{id:"sec_8_3",title:"Table 3.",level:"3"},{id:"sec_11",title:"3. Implement the method in cases of real data",level:"1"},{id:"sec_11_2",title:"3.1 Abu Roash dome area, West Cairo, Egypt (case 1)",level:"2"},{id:"sec_11_3",title:"3.1.1 Geological setting",level:"3"},{id:"sec_12_3",title:"Table 5.",level:"3"},{id:"sec_13_3",title:"3.1.3 Interpretation of data results",level:"3"},{id:"sec_15_2",title:"3.2 Humble salt dome in Harries County, Texas USA (case 2)",level:"2"},{id:"sec_15_3",title:"3.2.1 Geological setting",level:"3"},{id:"sec_16_3",title:"Table 10.",level:"3"},{id:"sec_17_3",title:"3.2.3 Interpretation of data results",level:"3"},{id:"sec_20",title:"4. Discussion and conclusions",level:"1"},{id:"sec_20_2",title:"4.1 The most important of advantages and disadvantages of proposed method",level:"2"},{id:"sec_22",title:"Acknowledgments",level:"1"},{id:"sec_23",title:"",level:"1"}],chapterReferences:[{id:"B1",body:'Sharma PV. Environmental and Engineering Geophysics. Cambridge, UK: Cambridge University Press; 1997'},{id:"B2",body:'Goussev SA et al. Gravity and Magnetics Exploration Lexicon. Calgary, Alberta, Canada: Geophysical Exploration & Development Corporation (GEDCO); 2000'},{id:"B3",body:'Parker RL. The theory of ideal bodies for gravity interpretation. Geophysical Journal Royal Astronomical Society. 1975;42:315-334'},{id:"B4",body:'Parker RL. Understanding inverse theory. Annual Review of Earth and Planetary Sciences. 1977;5:35-64 Available from: www.annualreviews.org/aronline by California Institute of Technology on 10/03/07. For personal use only'},{id:"B5",body:'A Salem et al. Estimation of depth and shape factor from potential-field data over sources of simple geometry, Conference Paper in SEG Technical Program Expanded Abstracts Society of Exploration Geophysicists United States 2002, DOI: 10.1190/1.1817358. 2002'},{id:"B6",body:'Werner S. Interpretation of Magnetic Anomalies at Sheet-like Bodies. Sweden: Sveriges Geologiska Undersok, Series C, Arsbok; 1953'},{id:"B7",body:'Reid AB et al. Magnetic interpretation in three dimensions using Euler deconvolution. Geophysics. 1990;55:80-91'},{id:"B8",body:'Salem A et al. Generalized magnetic tilt-euler deconvolution. In: SEG Technical Program Expanded Abstracts. Richardson, Texas: OnePetro; 2007. DOI: 10.1190/1.2792530'},{id:"B9",body:'Fedi M et al. Understanding imaging methods for potential field data. Geophysics. 2012, 77;(1):13. DOI: 10.1190/geo2011-0078.1'},{id:"B10",body:'Lillie RJ. Whole earth geophysics: An introduction textbook for geologists and geophysicists. In: Library of Congress Cataloging-in-Publication Data. ISBN: 0-13-490517-2. USA: Prentice-Hall, Inc; 1999'},{id:"B11",body:'Phillips JD et al. National Geophysical Data Grids; Gamma Ray, Gravity, Magnetic, and Topographic Data for the Conterminous. United States: US Geological Survey Digital Data Series DDS-09, 1 CD-ROM; 1993'},{id:"B12",body:'Nozaki K. The generalized bouguer anomaly. Earth, Planets and Space. 2006;58:287-303'},{id:"B13",body:'Reynolds M. An Introduction to Applied and Environmental Geophysics. Chichester, West Sussex, England: John Wiley & Son Ltd; 1997'},{id:"B14",body:'Lines LR et al. . In: Fitterman DV, Ellefsen K, editors. Fundamentals of Geophysical Interpretation, Geophysical Monograph Series. Vol. 13. Tulsa, Oklahoma, United States. ISBN: 978-0-931830-56-3 (Series): Society of Exploration Geophysicists; 2004'},{id:"B15",body:'Skeels D. C. Ambiguity in gravity interpretation. Geophysics. 1947;12:43-56'},{id:"B16",body:'David Johnson B et al. Some equivalent bodies and ambiguity in magnetic and gravity interpretation. Exploration Geophysics. 1979;10(1):109-110'},{id:"B17",body:'Abdel Khalek ML et al. Structural history of Abu Roash district, Western Desert, Egypt. Journal of African Earth Sciences. 1989;9(3/4):435-443'},{id:"B18",body:'Shided GA et al. Land use change detection and urban extension at Abu-Roash environs, West Cairo, Egypt. Nessa Publishers (NR). Journal of Geology & Earth Sciences. 2019;1(4):13'},{id:"B19",body:'Abdelrahman EM et al. On the least-squares residual anomaly determination. Geophysics. 1985;50(3):473-480. DOI: 10.1190/1.1441925'},{id:"B20",body:'H El-Araby et al. An iterative approach to depth determination of a buried sphere from vertical magnetic anomalies. Arab Gulf Journal of Scientific Research. 1993;11(1):37-46'},{id:"B21",body:'Khalid S, ESSA. A simple formula for shape and depth determination from residual gravity anomalies. Acta Geophysica. 2007;55(2):182-190. DOI: 10.2478/s11600-007-0003-9'},{id:"B22",body:'El-Malky GM. Structural Analysis of the Northern Western Desert of Egypt [PhD. thesis]. , London S.W.7: University of London, Structure Geology Section, Department of Geology, Royal School of Mines, Imperial College; 1985'},{id:"B23",body:'Sharaf M. The distribution of sedimentary basins in North Egypt and their relation to basement tectonics. Delta Journal of Science. 1988;12(2):539-560'},{id:"B24",body:'Khalid S, ESSA. Gravity data interpretation using the S-Curves method. Journal of Geophysics and Engineering. 2007;4(2):204-213. DOI: 10.1088/1742-2132/4/2/009'},{id:"B25",body:'Salvador A. Triassic-Jurassic. In: Salvador A, editor. The Gulf of Mexico Basin. Boulder, Colorado: Geological Society of America; 1991b. pp. 131-180'},{id:"B26",body:'Kupfer DH. Environment and intrusion of Gulf Coast salt and its probable relationship to plate tectonics. In: Fourth Symposium on Salt, Cleveland, Ohio. Northern Ohio: Geological Society; 1974. pp. 197-213'},{id:"B27",body:'Nettleton LL. Gravity and Magnetics in oil Prospecting. New York, NY, USA: McGraw-Hili Book Co; 1976'},{id:"B28",body:'Rao M et al. Two-dimensional interpretation of gravity anomalies over sedimentary basins with an exponential decrease of density-contrast with depth. Journal of Earth System Science. 1999;108(2):99-106'},{id:"B29",body:'Abdelrahman EM et al. Gravity interpretation using correlation factors between successive least-squares residual anomalies. Geophysics. 1989;54(12):1614-1621. DOI: 10.1190/1.1442629'},{id:"B30",body:'Abdelrahman EM et al. A least-squares minimization approach to depth determination from moving average gravity anomalies. Geophysics. 1993;59:1779-1784'},{id:"B31",body:'Abdelrahman EM et al. A numerical approach to depth determination from residual gravity anomaly due to two structures. Pure and Applied Geophysics. 1999;154(2):329-341. DOI: 10.1007/s000240050232'},{id:"B32",body:'Abdelrahman EM et al. Three least-squares minimization approach to depth, shape, and amplitude coefficient determination from gravity data. Geophysics. 2001;66:1105-1109'},{id:"B33",body:'Salem A, Ravat D. A combined analytic signal and Euler method (AN-EUL) for automatic interpretation of magnetic data. Geophysics. 2003;68:1952-1961'},{id:"B34",body:'Salem A, Elawadi E, Ushijima K. Detection of cavities and tunnels from gravity data using a neural network. Exploration Geophysics. 2004;32:204-208'},{id:"B35",body:'TLAS M et al. A versatile nonlinear inversion to interpret gravity anomaly caused by a simple geometrical structure. Pure and Applied Geophysics. 2005;162:2557-2571'},{id:"B36",body:'Aghajani H et al. Normalized full gradient of gravity anomaly method and its application to the mobrun sulfide body Canada. World Applied Sciences Journal. 2009;6(3):392-400. ISSN: 1818-4952. IDOSI Publications. 2009'},{id:"B37",body:'Asfahani J et al. Fair function minimization for direct interpretation of residual gravity anomaly profiles due to spheres and cylinders. Pure Applied Geophysics. 2012;169(1):157-165'},{id:"B38",body:'Mehanee SA. Accurate and efficient regularized inversion approach for the interpretation of isolated gravity anomalies. Pure and Applied Geophysics. 2014;171:1897e1937. DOI: 10.1007/s00024-013-0761-z'},{id:"B39",body:'Okocha, C. Gravitational Study of the Hastings Salt Dome and Associated Faults in Brazoria and Galveston Counties, Texas [M.Sc. Thesis]. Nacogdoches, TX, United States: Stephen F. Austin State University; 2017'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"D. M. Abdelfattah",address:"moustafa_dahab@yahoo.com",affiliation:'
Former J.V. Geophysicist-Eni’s Company in Egypt, Egypt
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. 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Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. 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This chapter examines many questions that need to be considered and the role of the key individual with oversight of the GME, the designated institutional official (DIO). Topics examined are the leadership theories, practices and strategies for the DIO, dealing with change when the DIO starts, using authority versus power, effective problem-solving and decision-making, adaptive leadership style, the historical function of the DIO, as well as the many tools available to the DIO including networking. The chapter concludes with several pearls of wisdom to positively help the DIO meet the many challenges of this very important role in GME.",book:{id:"8645",slug:"contemporary-topics-in-graduate-medical-education",title:"Contemporary Topics in Graduate Medical Education",fullTitle:"Contemporary Topics in Graduate Medical Education"},signatures:"Jay M. 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\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems. \r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.
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She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"333753",title:"Dr.",name:"Rais",middleName:null,surname:"Ahmed",slug:"rais-ahmed",fullName:"Rais Ahmed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333753/images/20168_n.jpg",biography:null,institutionString:null,institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. He has authored and reviewed a number of journal articles and book chapters.",institutionString:"National Veterinary Research Institute",institution:{name:"National Veterinary Research Institute",country:{name:"Nigeria"}}},{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. She is a professor in the Stomatology Faculty, St. Petersburg State University. She has expertise in the development and evaluation of a wide range of live mucosal vaccines against influenza and bacterial complications. Her research interests include immunity against influenza and COVID-19 and the development of immunization schemes for high-risk individuals.",institutionString:'Federal State Budgetary Scientific Institution "Institute of Experimental Medicine"',institution:null},{id:"238958",title:"Mr.",name:"Atamjit",middleName:null,surname:"Singh",slug:"atamjit-singh",fullName:"Atamjit Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/238958/images/6575_n.jpg",biography:null,institutionString:null,institution:null},{id:"252058",title:"M.Sc.",name:"Juan",middleName:null,surname:"Sulca",slug:"juan-sulca",fullName:"Juan Sulca",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252058/images/12834_n.jpg",biography:null,institutionString:null,institution:null},{id:"191392",title:"Dr.",name:"Marimuthu",middleName:null,surname:"Govindarajan",slug:"marimuthu-govindarajan",fullName:"Marimuthu Govindarajan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/191392/images/5828_n.jpg",biography:"Dr. M. Govindarajan completed his BSc degree in Zoology at Government Arts College (Autonomous), Kumbakonam, and MSc, MPhil, and PhD degrees at Annamalai University, Annamalai Nagar, Tamil Nadu, India. He is serving as an assistant professor at the Department of Zoology, Annamalai University. His research interests include isolation, identification, and characterization of biologically active molecules from plants and microbes. He has identified more than 20 pure compounds with high mosquitocidal activity and also conducted high-quality research on photochemistry and nanosynthesis. He has published more than 150 studies in journals with impact factor and 2 books in Lambert Academic Publishing, Germany. He serves as an editorial board member in various national and international scientific journals.",institutionString:null,institution:null},{id:"274660",title:"Dr.",name:"Damodar",middleName:null,surname:"Paudel",slug:"damodar-paudel",fullName:"Damodar Paudel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274660/images/8176_n.jpg",biography:"I am DrDamodar Paudel,currently working as consultant Physician in Nepal police Hospital.",institutionString:null,institution:null},{id:"241562",title:"Dr.",name:"Melvin",middleName:null,surname:"Sanicas",slug:"melvin-sanicas",fullName:"Melvin Sanicas",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241562/images/6699_n.jpg",biography:null,institutionString:null,institution:null},{id:"322007",title:"Dr.",name:"Maria Elizbeth",middleName:null,surname:"Alvarez-Sánchez",slug:"maria-elizbeth-alvarez-sanchez",fullName:"Maria Elizbeth Alvarez-Sánchez",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",country:{name:"Mexico"}}},{id:"337443",title:"Dr.",name:"Juan",middleName:null,surname:"A. Gonzalez-Sanchez",slug:"juan-a.-gonzalez-sanchez",fullName:"Juan A. Gonzalez-Sanchez",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Puerto Rico System",country:{name:"United States of America"}}},{id:"337446",title:"Dr.",name:"Maria",middleName:null,surname:"Zavala-Colon",slug:"maria-zavala-colon",fullName:"Maria Zavala-Colon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Puerto Rico, Medical Sciences Campus",country:{name:"United States of America"}}},{id:"338856",title:"Mrs.",name:"Nur Alvira",middleName:null,surname:"Pascawati",slug:"nur-alvira-pascawati",fullName:"Nur Alvira Pascawati",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universitas Respati Yogyakarta",country:{name:"Indonesia"}}}]}},subseries:{item:{id:"27",type:"subseries",title:"Multi-Agent Systems",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. The area covers many techniques that offer solutions to emerging problems in robotics and enterprise-level software systems. Collaborative intelligence is highly and effectively achieved with multi-agent systems. Areas of application include swarms of robots, flocks of UAVs, collaborative software management. Given the level of technological enhancements, the popularity of machine learning in use has opened a new chapter in multi-agent studies alongside the practical challenges and long-lasting collaboration issues in the field. It has increased the urgency and the need for further studies in this field. We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",hasOnlineFirst:!0,hasPublishedBooks:!1,annualVolume:11423,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null,series:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403"},editorialBoard:[{id:"275140",title:"Dr.",name:"Dinh Hoa",middleName:null,surname:"Nguyen",slug:"dinh-hoa-nguyen",fullName:"Dinh Hoa Nguyen",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRbnKQAS/Profile_Picture_1622204093453",institutionString:null,institution:{name:"Kyushu University",institutionURL:null,country:{name:"Japan"}}},{id:"20259",title:"Dr.",name:"Hongbin",middleName:null,surname:"Ma",slug:"hongbin-ma",fullName:"Hongbin Ma",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRhDJQA0/Profile_Picture_2022-05-02T08:25:21.jpg",institutionString:null,institution:{name:"Beijing Institute of Technology",institutionURL:null,country:{name:"China"}}},{id:"28640",title:"Prof.",name:"Yasushi",middleName:null,surname:"Kambayashi",slug:"yasushi-kambayashi",fullName:"Yasushi Kambayashi",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYOQxQAO/Profile_Picture_1625660525470",institutionString:null,institution:{name:"Nippon Institute of Technology",institutionURL:null,country:{name:"Japan"}}}]},onlineFirstChapters:{paginationCount:25,paginationItems:[{id:"82654",title:"Atraumatic Restorative Treatment: More than a Minimally Invasive Approach?",doi:"10.5772/intechopen.105623",signatures:"Manal A. 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