Operation conditions of injection facilities in Nagaoka, Japan [42].
\r\n\tThe present book intends to provide to the reader a comprehensive overview of the state of art in empathy studies, embracing the different theoretical points of view and illustrating the advanced research such as the application of new technologies to promote perspective-taking. The critical aspects and the future directions of the study on empathy will also be presented.
",isbn:"978-1-80356-612-2",printIsbn:"978-1-80356-611-5",pdfIsbn:"978-1-80356-613-9",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"4c1042dfe15aa9cea6019524c4cbff38",bookSignature:"Ph.D. Sara Ventura",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11443.jpg",keywords:"Theoretical Model, Skill, Perspective Taking, Training Programs, Practical Implications, Advanced Research, Future Directions, Virtual Reality, Augmented Reality, New Trends, Assistive Technology",numberOfDownloads:18,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 1st 2022",dateEndSecondStepPublish:"June 8th 2022",dateEndThirdStepPublish:"August 7th 2022",dateEndFourthStepPublish:"October 26th 2022",dateEndFifthStepPublish:"December 25th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Passionate researcher in the application of new technologies to psychological treatments, neuro-rehabilitation, human behavior, and the evolution of the human-computer interaction. In 2017 Dr. Ventura won a competitive grant (Santiago Grisolia) at the University of Valencia at LABPSITEC group, where she was awarded her Ph.D. degree, supervised by Prof. Rosa Baños at the University of Valencia, and co-directed by Prof. Giuseppe Riva of the Catholic University of Milan.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"227763",title:"Ph.D.",name:"Sara",middleName:null,surname:"Ventura",slug:"sara-ventura",fullName:"Sara Ventura",profilePictureURL:"https://mts.intechopen.com/storage/users/227763/images/system/227763.jpg",biography:"Sara Ventura gained a B.Sc in Psychology at the University of Padua (Italy) in 2013 and an M.Sc. in Ergonomic Psychology at the Catholic University of Milan (Italy) in 2015. In 2016, she carried out a postgraduate training at Universidad Nacional Autónoma de Mexico (Mexico) at the Ciberpsychology lab, working on a rehabilitation protocol for people with acquired brain injury through Virtual Reality. In 2020, Sara gained the Ph.D. in Clinical Psychology at University of Valencia (Spain) working with the LabPsitec group and focusing her research on the study of embodiment and empathy with the support of Virtual Reality. Actually, she is working both with Alma Mater Studiorum – University of Bologna (Italy), and the University of Valencia (Spain) on the fields of embodiment, stroke rehabilitation, empathy and patient care. Her research interests mainly focus on the adoption of new technologies, particularly Virtual/Augmented Reality and Artificial Intelligence for the psycho-social wellbeing with clinical and non-clinical populations, the study of human-computer interaction, and the user experience. 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Oil recoveries using natural (primary) mechanisms rarely exceed 20% of the original oil-in-place (OOIP) [2]. Secondary methods of recovery often add few percentages to the above figure [2]. Hence, companies would welcome any methods that could lead to an increase in the production of the postwater/gas injection trapped oil in the reservoir. Injecting CO2 into oil reservoirs to improve the recovery of oil on commercial (field) scales has been practiced since nearly half a century ago. The idea of CO2 flooding first emerged in 1930s, and more laboratory and field studies were conducted between 1950s and 1970s. Most of these implementations have been in North America. However, some small-to-large scale CO2 injection projects have been reported in other parts of the world [3, 4].
In this method, CO2 is usually injected as a supercritical fluid. When injected at or above the critical point of pressure and temperature, supercritical CO2 can maintain the properties of a gas while having the density of a liquid. In this state, oil could be more efficiently mobilized from the depleted reservoir due to the improved volumetric efficiency. Conventionally, CO2 injection method is usually applied to the reservoirs with oil gravity less than 25 [5]. As CO2 is injected into the reservoir, the miscible CO2 will blend thoroughly with the oil in a manner that the interfacial tension between these two fluids becomes zero. The other mechanisms of CO2 by which the oil recovery is improved are the dissolution of CO2 in oil, swelling of oil, and eventually reduction of the viscosity of oil.
Since 2002, as a consequence of Kyoto protocol and imposing of the carbon tax, CO2 sequestration as a method to mitigate the high concentration of CO2 in the atmosphere has received a lot of attention [6, 7]. However, the lack of economic incentives has been the biggest hindrance to industrial field-scale application of CO2 sequestration. Emerging in the last decade, CO2-EOR was proposed as a method to add economic benefits of CO2 injection to mature oil fields to the environmental merits of CO2 sequestration [6]. Therefore, considering the large amounts of research dedicated to CO2-EOR, it is expected that in the near future, more field applications of this technology will be implemented globally. In this chapter, the phase behavior and hydrocarbon miscibility of CO2 is discussed in detail.
With decline in overall production levels from mature oil fields, oil companies have turned to enhanced oil recovery (EOR) techniques as a way of maximizing output. The more commonly applied technique is gas injection or miscible flooding. Miscible flooding is a commonly used term used to describe gas injection processes. This involves the displacement of oil that aids in maintaining original reservoir pressures by reducing the interfacial tension that exists between the oil and gas phases. This acts by removing the interphase between the two fluid phases, and commonly used gases include CO2, natural gas, and nitrogen, with CO2 being the most prominently used gas. Research on the use of CO2 has been ongoing since the 1950s, continuing into the 1960s [8, 9, 10]. And the advantage that CO2 injection brought about was noticed as the increase in reservoir pressure that resulted in higher oil production due to the driving force provided by it. In its infancy, research on CO2 showed it to be immiscible with oil at reservoir pressures, but it was later discovered that under certain conditions of temperature, pressure, and oil composition, the carbon dioxide becomes enriched and becomes miscible with oil [11]. The pressure required for CO2 gas to attain miscibility in oil is also much lower than methane gas. The term “miscible flooding” has been adopted as the conventional phrase used to describe the process of gas injection.
The main advantages of using CO2 in this process include the following:
The miscibility of CO2 with oil as highlighted earlier.
It is a cheaper source of gas than other alternatives.
By injecting it back, CO2 capture is also achieved.
From review of various literatures, an indication of the suitability of CO2 as an excellent solvent for EOR in onshore fields of Canada and the USA can be deduced. And from experience garnered worldwide by operators, CO2 flooding increases oil extraction by between 7 and 15% of oil initially in place. And also, it reduces the amount of CO2 in the atmosphere and greenhouse gases in general [12].
Challenges associated with CO2-driven EOR include technological, economical, and supply. For example, a long pipe network is usually required to transmit CO2 from source to the field. High-pressure compressors are also another essential requirement in the injection process. Therefore, all these factors have to be assessed and weighed in relation to the extra oil recovered to determine if it is profitable.
In recent times, newer techniques such as water alternating CO2 injection and simultaneous water and CO2 injection have been developed, and they are determined to increase efficiency of oil recovery at lower costs.
A recent study commissioned by the Congressional Research Service shows that, theoretically, carbon-capture technology could remove as much as 80–90% of CO2 from emissions.
The minimum miscibility pressure (MMP) of CO2 and NGL for conventional reservoirs are few hundreds psia higher compared to unconventional reservoir due to difference in pore size according to a study by Teklu et al. [13].
The deviation between the nanopore phase behavior from bulk (PVT cell) properties was studied [14, 15, 16]. The bubble point and dew point pressure, interfacial tension (IFT), and minimum miscibility pressure (MMP) between injection and reservoir fluid change in nanopores due to small pore confinement effect [13]. MMP was calculated by including capillary pressure and critical property shifts in confined pores using multiple mixing cell (MMC) algorithm of Ahmadi and Johns [17].
Phase behavior is important in the design of a variety of EOR processes, for example, surfactant/polymer processes and gas injection processes. The process of reducing interfaces between oil and displacing phase and hence removing effect of capillary forces between injected fluid and the oil is called miscible displacement. During the gas injection process, the required miscible-displacing fluid is generated by mixing the injected fluid with oil in the reservoir. Phase behavior of gas/oil systems is summarized in the pressure-composition (p-x) diagram. A work by Graue and Zana [18] summarizes the result for CO2 injection in the Rangely field, Colorado. The physical property date was obtained from constant composition expansion (CCE) to determine the phase envelope (bubble point and dew point envelope) and vapor/liquid equilibrium experiment (VLE) to yield vapor/liquid equilibrium constant (K-values). The phase behavior of Rangely reservoir oil with different gases’ composition at reservoir temperature of 160°F showed that critical and saturation pressures of the injected gas/reservoir oil system were increased substantially by 10 mol% N2 in the injected gas. The phase behavior data showed solid phase precipitation that amount for 2–5% of the reservoir oil [18]. Figure 1 illustrates the pressure composition diagram of Rangely oil containing considerable amounts of CO2.
Pressure composition diagram—gas 1 system for Rangely oil: 95% CO2 and 5% CH4 gas at 160°F [
The oil displacement process is classified into two types depending on the method on which miscibility is achieved. These are classified as first-contact miscible (FCM) and multiple-contact miscible (MCM). In the FCM process, a small quantity of a primary slug that is miscible with the oil is initially injected; afterwards, a larger quantity of a less expensive slug is injected. The size of the slugs injected is determined by the costs. Under ideal conditions, the two injected slugs should be miscible; thus, at both the leading and trailing edges of the primary slug, the phase behavior has to be monitored. In the case of these slugs being immiscible, a residual saturation of the primary material will be trapped in the displacement process. While during the MCM displacement process, miscibility in the reservoir is generated through in-situ composition changes due to multiple-contacts and mass transfer between the injecting fluid and oil present. These MCM processes are classified as displacements using vaporizing gas (lean gas), condensing and condensing/vaporizing gas (enriched gas), and CO2.
A relatively lean gas is gas containing a little low molecular weight hydrocarbon (or inert gases like nitrogen) and methane making up the rest of the composition. The schematic of the CO2 (Figure 2) miscible process shows the transition zone between the injection and production well [19].
Mechanisms of CO2 injection for EOR [
After injection, its composition gets changed as it moves through the reservoir in the process becoming miscible with the original reservoir oil. This means that through multiple-contact the composition of the injected fluid is enriched, and intermediate components are vaporized into the injected gas. And at some point under the appropriate conditions, the enrichment reaches a level where the injected gas becomes miscible with oil in the reservoir. It is from this stage of the process, under ideal conditions, that displacement is said to occur [20, 21, 22].
When using a condensing or enriched gas as the injecting fluid, the process is more expensive because the fluid tends to contain a high concentration of intermediate-molecular-weight hydrocarbons. This process entails enrichment of the reservoir oil that first comes in contact with the injection fluid. Thereafter, hydrocarbon components from the fluid are condensed into the oil, giving it the name condensing process. Under ideal conditions, this oil is sufficiently changed in composition such that it becomes miscible with increased fluid injection and miscible displacement thus occurs. This process can be operated at a lower pressure than the vaporizing process [23, 24, 25, 26].
It has been a long held notion that the enriched-gas process is operated mechanically, as highlighted in the previous paragraph. However, it has now been discovered that it is more often a combination of condensing and vaporizing mechanisms. The lighter components of the injected gas (C2 through C4) tend to condense into the reservoir oil as previously highlighted. While the middle intermediate components (C4+) become vaporized from the oil and absorbed into the gas phase, this prevents the development of miscibility between fresh injected gas and enriched oil at the entry point of the injection process (the oil becomes heavier). Further into the injection process, the light intermediates in the gas condensate into the oil, and this leads to the oil becoming saturated. As for the middle intermediate, vaporization continues due to the slight enrichment of the injected gas. When the condensation/vaporization process proceeds further downstream, the gas becomes more enriched due to contact with the oil. And the enrichment is said to occur at the point where the gas “nearly” becomes miscible with the original reservoir oil, ensuring a more efficient displacement process, even though miscibility is never fully developed (i.e., the two phases are never fully miscible in all proportions) [20, 27, 28, 29].
CO2 is not miscible with most crude oils at first contact under normal reservoir conditions. However, at some ideal conditions of temperature, pressure, and composition, miscibility is expected to occur through multiple contacts. Overall, the process behavior is analogous to the vaporizing process. Under some conditions, the phase behavior can be more complex, having two liquid phases, or two liquid phases in addition to a vapor phase.
There are two main groups of considerations for CO2-EOR, namely technical and economical (fiscal) considerations. CO2-EOR injection technical consideration involves a complex engineering and differs from reservoir to reservoir. A detailed description of reservoir field and prospect of miscibility must be taken into account before considering CO2-EOR injection. Usually, the key parameters used in the technical consideration are remaining oil in place, minimum miscibility pressure, reservoir depth, oil API gravity, and formation dip angle.
In offshore fields, there are more factors that need to be considered. Firstly, the separation of CO2 from the produced gas is the ideal choice if the CO2 source is not in the vicinity of the field. Next, at high CO2 concentrations, there is a need for the facilities and operation to process the gas [21]. This is because CO2 becomes acidic as it is injected into the (formation) water and causes corrosion of the equipment in the offshore environment. If the fields are using CO2-WAG processes, then the facilities need to be compatible with acid that could be generated so that the corrosion in the facilities could be prevented [20, 21, 22].
Verma et al. [29] studied the parameters that affect the efficiency for increasing the production of methane gas on Marcellus shale and concluded that the gas production can be increased by 7% with the optimal spacing between injection and production well. It can be concluded that the natural fracture permeability is the dominant factor to improve the production of methane. As the fracture half-length increases, the methane production increases and the possibility of CO2 breakthrough also increases. The down side of this process is the cost as well as a high risk of leakage and the field pollution. This is due to the fact that the injecting of CO2 can degrade the gas production as a result of the mixing initial gas in place with the injected CO2 [30]. Due to the miscibility of CO2 and the natural gas, their physical properties were potentially ideal for reservoir re-pressurization. For instance, CO2 has higher density and lower mobility ratio compared to methane. Hence, CO2 will sink in the reservoir; this can stabilize the displacement process between the injected CO2 and the methane initially in place.
Reservoir heterogeneity and solubility of CO2 in formation brine could also play a major role in causing early CO2 breakthrough to the production wells. The latter could be delayed, by re-pressurizing the reservoir [26, 31]. Generally, due to the benefits of CO2 injection to gas reservoir, CO2-EGR could be potentially efficient and therefore an attractive option in spite of a bigger investment required as compared to CO2 injection into oil reservoirs. Nevertheless, it can extract more hydrocarbons as compared to oil reservoirs.
The reservoirs must be subsequently screened for economic consideration based on standardized capital costs and operation expenses that are representative of the reservoirs under consideration. Wei et al. [27] found that the total crude oil recovery potential along with CO2 storage resource and net income for enterprises can be increased if the price of crude oil is high and the price of CO2 and tax is low. The cumulative cost-effective oil production varied between 0.3 and 1.3 billion tons (2.1 and 9.1 billion barrels). This is consistent with research reported from Appalachian basin region, which suggests that CO2-EOR may be economically feasible in the study area when oil prices are $70/STB or higher [28, 32]. However, the economics of onshore CO2-EOR will face an undesirable impact due to complex geological properties, high viscosity of crude oil, high royalty rates, technology limitations, and the lack of incentives for CO2-EOR projects. Overall, a miscible CO2-EOR process is preferred considering all the technical and economical evaluations as detailed as possible.
In this chapter, the facilities that are required for CO2 injection and CO2 sequestration application both in the offshore and onshore environment are discussed.
For CO2-EOR, the facilities required are almost the same with those that are required in water-flooding process that includes gas phase (CO2 and natural gases) gathering lines, CO2 metering, and distribution lines that are also required in the designing of the facilities for the CO2-EOR operations [33, 44]. However, there are three basic elements that differentiate the two processes. They are as follows:
Extraction: CO2 gas is extracted from the increasingly rich CO2 separator gas due to its breakthrough in producing wells.
Processing: It is the process of purifying of CO2 down to specification upon extraction from the separator gas and CO2 undergoing dehydration prior to compression.
Compression: CO2 undergoes compression to raise its pressure for injection.
One of the preliminary considerations for CO2 EOR facilities is the incorporation of the flue gas CO2 recovery plants, CO2 compression/dehydration unit, CO2 pipelines, CO2 injection wells, and a facility for separating CO2 from associated gas as can be seen in Figure 3. Macon extensively discussed the details of Levelland Texas, which is one of the earliest projects of CO2 injection, from aspects of the design and operation of the facilities [33, 34].
A typical system utilized in CO2-EOR [
CO2 transport is the first operational aspect to take into consideration in a CO2 injection project. CO2 transportation by trucks or rail cars may be deemed inefficient and costly if the supply source is far away from the injection site [34]. Moreover, since CO2-EOR requires millions and billions of tons of CO2, such methods of transportation are simply impractical. In the later projects, the CO2 is transported via pipeline system as a dry gas, separated from any existing water injection system.
The CO2 will be stored in liquid form at approximately −18°C and ~300 psi and this can be achieved by utilizing a refrigeration unit that consists of skid mounted compressors and refrigerant condensers. The refrigeration system when added with heavy insulation will minimize the cost of the product normally lost through relief valves as the liquid warms during prolonged storage. The CO2 gas is dehydrated as its dew point is lowered to a temperature lower than 0°C and compressed up to its critical pressure before being fed to the reservoirs via a CO2 pipeline [35, 36].
In most cases, CO2 is distributed throughout the system and facilities as a dry gas through a trunkline system [33, 35, 37] using bare carbon steel systems as there is no concern for corrosion when the pumping pressure is set at around 1800–2400 psi [37]. However, precautions should be taken by moving the flange valve and tying the valve above ground to avoid leaks and the dry ice formation if loose. Blowdowns consisting of a buried flanged blowdown valve, a blowdown stack, and a line blind are installed (refer Figures 3 and 4) to remove excess CO2 impurities in the pipe.
CO2 trunkline blowdown station [
Special consideration should be taken into account for Christmas tree if water alternating gas (WAG) method is applied. If water and CO2 are alternately injected, the part of the system will be vulnerable to corrosion as high-pressured CO2 will come into contact with water and form an acidic solution [36].
At the CO2 well head, an additional tee is necessary to be installed, which allows the high-pressure CO2 stream to be closed off away from the well head, which in turn will increase the safety of workovers and similar operations (refer Figures 5 and 6). No modifications are required in terms of artificial lift equipment or the well head equipment during the implementation of the CO2 project mainly due to economic reasons and uncertainties of design parameters [37].
CO2 injection well head [
Modifications on CO2 production well head [
Injected CO2 eventually recycles back. The recycled stream may contain H2S [43]. While this may raise a cause for a higher possibility for stress cracking, unlike most systems, the recycle stream will be sufficiently dehydrated, so the need for protection can be minimized through mill analysis and inspection.
Modifications to the well head were implemented in the ADCO’s Wasson ODC Unit, which include 80 nipples, 2000 psi-rated ball valves on the tubing head, and new elastomers in both the secondary seal and tubing slip seal. For beam pumped wells, the blowout preventer elastomers are also changed. For electrical submersible pumps, the tubing valve is being replaced with a 2000 psi-rated gate valve. Many equipment changes and tests are being conducted with respect to all artificial lift equipment. Pre-CO2 injection flowlines are to be replaced with higher pressure rated fiberglass pipes to increase line capacity, and not for corrosion resistance [38].
The remote headers and satellite battery headers are responsible to collect, or centralize, production from numerous wells and to provide individual well test facilities for oil, water, hydrocarbon gas, and CO2 gas production. Remote headers are operated at pressure range of 30–35 psi, while the satellite batteries’ headers operate from 25 to 30 psi, whereas satellite batteries are to remove the majority of the hydrocarbon and CO2 gas from the produced fluids and to pump liquids to the fluid gathering, and obtain well tests [39]. Each satellite battery includes a header, test separator, production separator, and transfer pumps.
The specific design criteria for satellite batteries include the following:
Minimum of two phase production separators per satellite
A pump from separator system
Three phase test separators per ten wells
Surface facilities in CO2-EOR requires recovery of CO2 and reinjecting it back to the well, with which CO2 release to the atmosphere can be minimized as well as purchasing cost of additional CO2 can be reduced. Typical surface facilities for CO2-EOR are gas separation. Water treatment of CO2 compression and injection and also dehydration can be seen in Figure 7.
Dehydration column removes the moisture content of the gas stream by using the contact with lean glycol in the upper part of the 14 tray column and the gas must be cooled first by the air cooler. Rich glycol is extracted from the bottom of the column and directed to the regeneration system, and dry gas passes through from the top to the compressor package.
A slug catcher is to catch any water as water will be continuously dropping, which may unload in slugs. Then, three-stage reciprocating compressor is used to increase the pressure of CO2 from 700 kPa(g) to approximately 10,000 kPa(g). At the first stage reciprocating compressor at 3000 kPa the CO2 is dehydrated. Afterwards, CO2 liquid is trucked to the site to supplement injection requirement and stored in refrigerated bullet. Then, the cryogenic triplex pumps are used to pump the CO2 liquid to injection pressure. After that, the liquid and compressed gaseous CO2 are commingled in a mixer [40]. A minimum well head temperature must be maintained so as not to freeze the inhibited water in the well annulus. Should the injection compressor be shut in, liquid CO2 is warmed by a trim heater.
Typical surface facilities for CO2-EOR [
The majority of CO2-EOR projects are all similar in terms of facilities to those in the offshore. The following sections discuss the various equipment and facilities required at different phases of a typical offshore CO2 injection project.
Depending on the CO2 stream composition, weight, temperature, and pressure, the outline of pig launcher ought to be in certain standards and suitable measures (e.g., DNV OSF-101). Pigging is usually used for dispatching new or re-appointing existing pipelines. A reconditioned or new pipeline needs to be hydrotested to guarantee pressure integrity. Frequent inspection for any degradation and verification of the effects of dry CO2 stream on the pipeline must be done. In any case, since the CO2 will be exceptionally dry, it is likely that future pigging operations will be less successive due to subsea situation. Normally, the pig traps are not fitted; thus, portable pig traps can be considered in the design [40].
Piping diameters and thickness are the main concern in designing the facilities in which for the purpose of CO2-EOR the pipeline could have two diverse design requirements. If the storage complex is already pressurized over the required level to keep the CO2 as fluid in injection wells, then the project may pick to utilize high-pressure liquid pipe. In other cases, for instance, the Hewitt Field model [11], the pressure inside the field would bit by bit be expanded using gaseous CO2 in the transport system until the field pressure can maintain liquid CO2 in the injection wells. During that time, the transport system would be changed over to a higher pressure fluid pipeline.
The pipeline system in onshore system is typically below 120 atm (1740.45 psi) and logically the pressure in the offshore CO2 pipeline is higher. In offshore frameworks, the CO2 is being pumped under long distances; thus, there is much pressure loss due to friction. With trunkline pressure between 150 and 250 atm, the CO2 may be injected into geological formation without further boosting of pressure. The pressure will be affected by the distance of onshore facilities and offshore storage complexes, which may affect the wall thickness and pipeline diameters [21, 41].
Due to the danger of transporting high-pressure liquid CO2, the transportation will be done in liquid and subsupercritical. To diminish the risk in onshore pipelines, it is likely that these will be at pressure lower than the required for offshore transport and ought to be expanded at a coastal booster station before going to offshore [42, 43, 44]. Besides, offshore pressure booster may be required if there is excessive pressure drop between onshore booster station and offshore storage complexes or if the pressure is inadequate to inject directly into reservoir [45]. To avoid two-phase flow that leads to critical damage and cavitation, the pressure downstream of an offshore booster pump should be over bubble point [46].
CO2 might be injected directly into the reservoir if the pipeline pressure is adequate. However, it is likely to bring CO2 onto platform for control pressure or to lift its pressure; certain design considerations should be considered. Below are the injection facilities’ operation conditions and the process flow diagram of field test of CO2 injection in Nagaoka, Japan [43]. Some operation details of injection facilities in Nagaoka are summarized in Table 1.
Injection rate | Pressure | Temperature | CO2 phase |
---|---|---|---|
Range: 10–48 t/day | Well head 1015.26 to 1595.42 psi | Well head 32°C | Kept to be “supercritical phase” (at well bottom) |
Ordinary rate: 20 to 40 t/day | Well bottom max. 2755.72 psi | Well bottom 48°C |
Operation conditions of injection facilities in Nagaoka, Japan [42].
Risers are the piping that transports the fluid between the offshore platform and the seabed. Flexible risers are used especially on floating production installations. ESDV is placed between the moving pipe infrastructure and the riser to the platform as a safeguard gadget to guarantee no leakage of CO2 when there is failure in platform. It is likely found on the seabed where there is the possibility of heavy things to be dropped on the pipeline underneath during the lifting operation work. Moreover, it is designed to counter any structural failure on the platform and any upstream failure where it will cause the valve to close.
Pressure issue related to CCS projects may require extra pumping units due to higher pressure required over long distance. In the event that the pressure drops along offshore pipeline, usually pumps would be placed on an offshore platform [44].
Due to the nature of CO2-EOR patterns, the water production is high, thus leading to the need for large separation capacity with inlet separators dominated with water rather than oil. Moreover, separation is harder because of scale, emulsion, ESP or gas lifting, and asphaltenes. A large CO2 reinjection compressors are needed due to high CO2 production that resulted from back produced CO2 in the system.
Since the industrial revolution, concentration of CO2 and other greenhouse gases increased due to burning of fossil fuels. The measured atmospheric concentrations of CO2 are 100 ppm higher than preindustrial levels [46]. According to report published by the Global Monitoring Division (formerly CMDL) of the National Oceanic and Atmospheric Administration, concentration of CO2 in the atmosphere has increased by 26% from less than 320 ppm in 1960 to 405 ppm in 2017 [47]. Fossil fuels provide 86% of the world’s energy and this amount is responsible for around 91% of CO2 emissions. There is almost a global agreement about taking responsible actions in implementing energy sources in the years to come [48].
Subsurface CO2 sequestration is one of the various options for reducing the CO2 concentration in the atmosphere resulting from anthropogenic activities. CO2 sequestration potentially provides around 25% of the required mitigation to global emissions, which can delay global warming to an acceptable extent [48]. Subsurface sequestration captures CO2 at the point of its emission and injects large amounts of it deep into subsurface formations where it can be stored permanently [49].
Several types of subsurface repositories may be utilized for sequestration of CO2. CO2 could be safely sequestrated in subsurface formations such as deep saline aquifers, coal bed methane (CBM), and depleted hydrocarbon reservoirs. Due to known geological formation and existence of seal traps, CO2 may be more safely sequestrated in depleted oil and gas reservoirs as compared to saline aquifers and coal bed methane reservoirs. On the other hand, the abundance and higher storage capacity are two major motivations for sequestration of CO2 in saline aquifers. Figure 8 illustrates CO2 sequestration in various underground repositories. International Energy Agency (IEA) estimated global geological sequestration (storage) potential of 400–10,000 Gt for saline formations and 900 Gt for depleted oil/gas fields [50]. CO2 sequestration requires comprehensive knowledge of characterization and behavior of CO2, rock and fluid interactions, as well as operation conditions in the geological formation of interest.
CO2 sequestration in various geological settings [from
There are several mechanisms involved in the sequestration processes. In a typical CO2 sequestration, some of the injected gas dissolves in the formation water (solubility trapping), some may be trapped as residual gas saturation (nonwet trapping), and some may react with host minerals to precipitate carbonate, i.e., mineral trapping.
In trapping mechanism, the injected CO2 is trapped in reservoirs in a manner similar to natural gas. Further vertical movement of natural gas (similar to CO2) is hampered by cap rock, which is impermeable. Although combination of all of the sequestration mechanisms render CO2 immobile in the geological repositories, the structural/stratigraphic and residual fluid mechanisms have the most dominant and imminent effect on trapping or retaining CO2 in aquifers [51]. This mechanism is mainly governed by density of injected CO2. The density difference between the injected CO2 and brine determines further movement of CO2 plume to rise or sink.
In nonwet trapping, once the supercritical CO2 is injected into the formation, it relocates fluid as it passes through the porous rock. As CO2 continues to move, some of the CO2 is left as disconnected droplets in the interstices due to interfacial forces. This process occurs when relative permeability to nonwet phase, i.e., CO2, becomes zero; nonwet phase therefore is rendered immobile assuming the formation is water-wet. Just like trapping of oil droplets (as nonwetting phase) in the pores containing wetting-phase (being brine), CO2 fills the interstices between pores and is trapped as discontinuous phase. The phenomenon is largely dominated by interfacial tension between the phases and wetting characteristics of the surface [52, 53].
Dissolution of CO2 in water is another important process responsible for sequestration of 20–60% injected CO2 in the geological formations. Dissolution mechanism occurs during migration of CO2 along its pathway in the injected formation. Over time, the injected CO2 dissolves into the formation brine, increasing its density. As a result, CO2-saturated brine sinks slowly and does not reach the surface. Moreover, the dissolution of injected high-pressure CO2 is in the formation brine acidifies the indigenous formation water [10]. Estimating capacity of this mechanism requires reservoir simulation and knowledge of CO2 supply ratio and injection rate, rock/fluid properties, and reactions [54].
In CO2 mineralization, CO2 reacts with minerals in rock to form stable components such as carbonates and aluminosilicate. It occurs along the migration pathway of CO2 into reservoir. Both rate and magnitude of reaction are dependent on the presence of reactive minerals [52] and formation water chemistry [55, 56]. Effective time for mineralization may vary from 500 to 1000 years. However, mineralization can give rise to precipitation of certain minerals and it leads to blockage of pore throat, thereby reducing permeability leading to loss of injectivity. The process is very slow and confined CO2 becomes immobile. The amount of CO2 sequestrated by this mechanism can be significant. Knowledge of mineralogy of a rock is the main requirement in predicting the behavior of CO2 in this mechanism.
The estimation capacity can be calculated using:
where G is the volume of CO2, A is the area, h is the thickness, Φ is the porosity, and E is the efficiency factor for the CO2 sequestration operation. The abovementioned parameters are mostly in the following range: mostly within the following range in physical parameters:
Areal extent of worldwide sedimentary basins (A): 70–80 million km2
Aquifer thickness (h): 50–400 m
Porosity (Φ): 0.05–0.30
CO2 solubility (S): 20–80 kg/m3; efficiency factor (Es): 0.01–0.5 (*0.0001–0.01)
CO2 density (ρ): 400–800 kg/m3; efficiency factor (Ef): 0.01–0.03 (*0.0001–0.0006)
Eq. (1) can be further modified to account for CO2 sequestration capacity that is coming from each trapping mechanism [51].
Conventional reservoirs are oil and gas reserves that could be found in discrete accumulation of pools. Therefore, the hydrocarbon can be easily recovered through classic exploration techniques and vertical or deviated wells. Unconventional reservoirs on the other hand could be defined as a reservoir that requires out-of-the-ordinary and hence complicated techniques of recovery as compared to the conventional oil and gas reservoirs [57, 58]. The main reasons why such reservoirs are getting considerable attention are the depletion of conventional sources and huge energy demand. Figure 9 shows the unconventional reservoirs that can be potentially produced for recovery of hydrocarbon. Tight-gas sands, gas and oil shales, coalbed methane, heavy oil, tar sands, and gas-hydrate deposits are among the most anticipated reservoirs. These reservoirs often necessitate complex recovery solutions such as stimulation treatments or thermal recovery methods and particular process facilities. Moreover, those requirements should be technically and more importantly economically viable [59].
Common unconventional hydrocarbon reservoirs.
Shale gas reservoir is referring to unconventional reservoirs that produce natural gas. Shale gas reservoir has received a lot of attention due to the potential reservoir in supplying clean burning energy and the way it copes with the depletion of conventional reservoirs [58]. However, at a certain time, the production of shale gas well decreases rapidly; thus, an enhanced gas recovery method has been aiming to improve the recovery from shale gas reservoirs.
In shale reservoir, methane (CH4) is adsorbed initially onto the surfaces of matrix particles and natural fracture faces and is stored in the matrix limiting its effective extraction [59]. Although large amounts of adsorbed gas exist, the ultra-low permeability of the shale matrix limits its effective extraction. CO2 injection is one of the methods that are largely implemented for EOR purposes due to the availability of CO2, the economics of operation, specific properties of CO2 gas, and positive environmental impact. CO2 can be used for enhanced gas recovery as well [60]. The process of EGR (enhanced gas recovery) using CO2 is mainly dominated by pressurizing effect. The pressurizing effects can cause CO2 injection to increase the rock permeability. The amount of CO2 injected into the well will be divided into two amounts; about 1% of injected CO2 will be produced, while 99% of injected CO2 will be stored in the reservoir. Therefore, tight shale gas reservoirs potentially make excellent repositories for CO2 sequestration purposes as well [60].
Various factors affect the recovery from tight shale reservoirs such as matrix porosity and permeability, hydraulic fracture half-length, and well spacing [61]. CO2 injection in shales is often conducted using huff and puff method. The supercritical carbon dioxide injection repressurizes the reservoir after the initial production period. Once the injected gas soaks from the fractures into the shale’s organic matrix through diffusion and convection, methane is released by the competitive adsorption since the shale has a stronger affinity for carbon dioxide than for methane. Then, during the second production period, the methane partial pressure is lowered and the shale gas production rate increases [62].
One example of such reservoirs is Chattanooga shale in Missouri, USA. The main objective of this project was to inject 500 tons of CO2 to survey the injection and storage potential of CO2 in a natural shale development while checking for enhanced gas recovery. The roads leading up to the wellpad were regraveled and graded to facilitate CO2 delivery by truck to the injection site. The wellpad was cleared and graveled prior to moving equipment on site. A 70-ton CO2 storage vessel was located permanently on site and refilled periodically by 20-ton tankers. The skid pump with all the controls and meters, as well as the propane tank and heater to heat the CO2, was also located on site (Figure 10). The well head of the injection well was converted to accommodate the CO2 injection by adding a gate valve, an inlet for the CO2 line, as well as a tee for additional tests and monitoring [63].
Injection well site layout [
The injection of 510 tons of CO2 during this test exhibits the first successful injection of CO2 in an organic shale formation to monitor for storage and enhanced gas recovery potential in Central Appalachia. This productive injection and monitoring of a CO2 infusion in an organic shale reservoir are extraordinary achievements and points of reference for CO2-EGR and additionally geologic CO2 storage in unconventional reservoirs. Once the well was brought back online after the soaking period, a significant increase in gas production occurred. During the first month of flowback, the average daily production rate was ~124 Mcf/day, which is over 8 times the average production for the last month before the well was taken offline for injection [64]. After 2 years of flowback, the well was still flowing at an increased production rate but is close to the projected historical production rate. The similar behavior of the injection well has been reported for modeling CO2 ‘huff-and-puff’ test in shale-oil reservoirs. The CO2 concentration in the product gas has steadily declined during the flowback of the injection well and 41% of the injected CO2 had been produced by the end of 2015 (17 months after flowback started). If the rate held constant, it would take over 8 years to produce all of the CO2 injected [63, 64].
The tight oil reservoir is a type of unconventional oil reservoir that is hard to produce due to the low permeability. In recent years, the exploitation of tight oil reservoir increased due to advanced technologies in the production industry and high demand for the energy. Two main technologies that need to be increased are horizontal drilling and multi-stage hydraulic fracturing. U.S. Energy Information Administration reported that tight oil production will increase from 33% of total lower 48 onshore oil production to 51% in 2040 [59, 60]. However, the decline curves of primary production are steep due to low permeability [60, 66]. CO2-EOR is utilized more commonly as compared to water flooding in case of tight oil reservoirs due to the poor sweep efficiency of water flooding and low injectivity of water in tight oil reservoirs. Moreover, in case of the reservoirs with a higher wetting tendency toward oil (oil-wet), water flooding would be less effective. CO2-EOR could be implemented as continuous CO2 injection or huff and puff technique. Hydraulic fracturing is one of the most important mechanisms in recoveries from tight oil reservoirs. The geometry, the number, and the spacing of the fracture can affect the recovery from the tight oil reservoirs. Bakken reservoir in the US is one of the largest unconventional tight oil reservoirs that has been produced since early 1950s. Through years of production and study of the reservoir, engineers decided that the following strategies are suitable for this field as shown in Table 2.
Strategies | Actions |
---|---|
Development of CO2-EOR techniques for unlocking resources in tight oil formations |
|
Tight formation characterization and multistage fracturing optimization |
|
Unlocking Bakken potential through CO2 huff and puff |
|
Optimum CO2 and water-based oil recovery processes for Bakken formations |
|
Strategies and action that could efficiently lead to increase in the recovery.
The followings outcomes were observed during the simulation of CO2-EOR for the period of 30 years on Bakken Field:
Oil recovery factor increases with the increasing number of cycles of CO2 huff and puff, and the incremental oil recovery factor at a 30-year period is 2.43% corresponding to three cycles in this case study.
Lower permeability, longer fracture half-length, and more heterogeneity are much favorable for the CO2 huff and puff process.
The CO2 diffusion mechanism is more pronounced than the convention mechanism for the reservoir with lower permeability during the CO2 huff and puff process.
Some of the world’s largest reserves are heavy oil reservoirs. With oil in place equal to the largest conventional oil fields in the Middle East, these large reserves are found in more than thirty countries around the globe, but few of these deposits have been developed extensively. One of the problems in the heavy oil reservoir is asphaltenic oil precipitate in the reservoir. Asphaltene is a component in petroleum, especially heavy oils. The asphaltene content could be defined by its solubility. Basically, any component that dissolves in toluene and precipitates in alkane is considered as asphaltene [65]. Various strategies and possible action to oil recoveries are summarized in Table 2.
Overall, heavy oil reservoirs are considered not favorable for CO2 flooding compared to light oil reservoir due to lack of sweep efficiency. The considerable viscosity difference between heavy oil and the injected CO2 results in poor sweep efficiency from heavy oil reservoirs. Moreover, there is a possibility of asphaltene precipitation during miscible displacement; therefore, the compatibility of fluids is an important parameter to consider when designing EOR process for heavy oil reservoirs.
The potential effect of CO2-EOR is not so much a matter of whether but of when. The science of the process is known to the experts, and there are plenty of CO2 emitters from different sources available and many oil reservoirs to host these CO2 from these emitters. The key point is the economic decision that depends primarily on several factors. Oil price, capital cost of infrastructures, tax policies on CO2 emission, cost of CO2 capture from CO2 emitters, and the speed of technology developments are the key parameters for economic decisions. These parameters could be hard to predict; however, developing a platform to facilitate the decision-making could speed up CO2-EOR and sequestration significantly.
In natural sciences, the standardization of operation procedures, aiming at methodologies and the reliability as well as the validity of resulting data, is most important.
Thinking of test settings in sensory science, especially to control and monitor panelist and panel performance during the panel work in defined test settings is necessary. In the context of sensory evaluation of olive oil specifically, several official requirements do exist—on the one hand the EEC regulation 2568/91 [1], as amended, as well as several underlying documents and guidelines from the International Olive Council (IOC) [2, 3, 4] and moreover the general EN ISO/IEC 17025 regulations for any kind of testing laboratories [5].
Data quality must be the overriding objective in natural sciences and therefore is indispensable. Assuring a high data quality during data collection and assessment requires a clear focus on “data reliability” (high precision → same/similar results) and “data validity” (high accuracy → correct results). Well known is that one can gain high precision in measuring something, but at the same time can miss the target—meaning that results are precise, but not correct. So, overall high data quality can only be achieved, if data are on the one hand precise (reliable) and at the same time as well accurate (valid).
Reliability: consistency and precision of measurement (in sensory analysis—repeatability of results—over time, of single panelists, of whole panels, indifferent test locations, …)
Validity: accuracy and trueness of measurement (in sensory analysis—homogeneity of results—between panels, in different test locations, …)
Factors that might have a negative impact on data quality in sensory science are manifold. They can be related to the execution of the general procedure (test methodology), to the handling of test samples (blinding, distribution, temperature), to training and monitoring aspects of panelists and panels, to statistical analysis and data management as well as to the test infrastructure.
All above-named regulations and guidelines have in common to standardize and control procedures and finally to minimize “noise” in resulting data. This is helpful and valuable, but nevertheless, not all possible and focused so-called “influencing factors” cause a similar or even a relevant impact on data quality—some of them, presupposing a specific framework of instructions and settings, even have none.
The study at hand focuses on the aspect of different test locations for objective sensory analysis and their possible impact on the quality of resulting data.
Normally tests in sensory analysis take place as central location tests (CLT) in standardized testing rooms, such as sensory laboratories. Most of the regulations and guidelines propose these “
But how about panelists in so-called “external panels,” who must travel to be able to participate in regular on-site and synchronic trainings and test situations? Such dates can be organized and scheduled only medium or long-term presupposed. Rather flexible and spontaneous testing under such conditions is almost not possible. This consideration shows us—independently from pandemic situations—the need for additional appropriate test settings, that on the one hand can secure high standards of data quality/validity in sensory analysis and are on the other hand flexible as well as time and cost-efficient. Doing sensory trainings and tests with panelists “remote” (off-site), meaning that panelists work at home respectively at defined and standardized “home-testing-stations,” cause less costs for traveling (time per panelist, transportation). Data can be collected and exchanged online (web-based) either synchronously or asynchronously and as well panel meetings can take place remotely. Moreover, the latest data even show a better availability of panelists, due to less necessary time effort for traveling and thereby as well a higher motivation for contribution in panel work, compared to more elaborate (
The aim of the study at hand is to prove the overall performance of participating sensory panels and the quality of the collected data. The focus lies on the evaluation of the suitability of “
The study at hand compares results from two sensory olive oil panels, namely the German Olive Oil Panel/DOP and the Swiss Olive Oil Panel/SOP.
Both panels are objective expert panels whose members have many years of experience in the sensory evaluation of olive oil. Specific infrastructure makes it possible to either carry out sensory tests synchronously and “
The SOP consists overall of 38 panelists and was founded in 2002. Since 2006 the SOP is accredited in accordance with EN ISO/IEC 17025 [5] and has been recognized by the International Olive Council (IOC) between 2009 and 2021. In the study at hand, the same nine panelists contributed “
The DOP consists overall of 25 panelists and was founded in 1999. Since 2012 the DOP is accredited in accordance with EN ISO/IEC 17025 [5] and has been recognized by the International Olive Council (IOC) between 2012 and 2021. In the study at hand, the same 11 panelists contributed “
There are at least two options to conduct sensory tests—on the one hand “
The sensory laboratory of SOP is located on the ZHAW campus in Wädenswil. It consists of 12 separate test booths. Each booth is equipped with a computer (incl. data acquisition software FIZZ by Biosystemes) and a heating device by Ettore Pasquali (mod. 145). Each heating device is recorded in a device list of the QMS and is checked regularly. Detailed information concerning the procedure of testing in the sensory laboratory (and concerning additional equipment, such as test glasses, spittoons, and palate-cleansing agents) is described in the QMS (internal document: Standard Operation Procedure: LMT-SEN-A5-302_translated EN → Sensory Evaluation at ZHAW (Sensory Laboratory)).
The sensory laboratory of DOP is in Nuremberg, Maxfeldstrasse 50. It consists of 12 separate mobile test booths. Each booth is equipped with a computer (incl. data acquisition software SENSORY by IMEDIA) and a heating device by Ettore Pasquali (mod. 145). Each heating device is recorded in a device list of the QMS and is checked regularly. Detailed information can be found in the QMS (internal document: Standard Operation Procedure SOP 07-02-02).
On the “Pro” side (Table 1) there is of course a high level of standardization. Samples are prepared in an absolute neutral way by the panel leader (or a technician), the testing takes place synchronously (at the same time) and electronic equipment is used for data collection and analysis.
Pros | Cons |
---|---|
ISO 17025 accreditation leads to a high level of standardization (controlled test situation, panelist/panel performance, etc.) | Synchronous testing causes low flexibility in terms of timing/scheduling tests → all testers have to be available at the same time |
Sample preparation (pouring 15 ml) in coded glasses is done by the panel leader | Necessity for testers to get on-site requires traveling-time and is rather time-consuming for them |
Synchronous testing (8–12 panelists) | Other potential influencing factors (malfunction interruption, noise, etc.) … |
Use of electronic equipment to collect, compile and analyze data |
Pros/cons of a test situation in a sensory laboratory.
On the “Contra” side (Table 1) we see low flexibility in terms of scheduling tests, especially because panelists must be available at the same time. If panelists are not collaborators and work on-site, they must travel. This is time- (and cost-) consuming. Moreover, even in a sensory lab, there is potential for additional interruptions (noise, malfunction, or else) with negative effects.
Within the SOP, each panelist has set up a personal testing station in a room in his or her home. Each testing station is equipped with a heating device (Rosenstein & Söhne), a thermometer (Testo Mini penetration thermometer), and blue glasses including cover glasses. Each heating device and the thermometer is recorded in a device list of the QMS and is checked regularly. Detailed information concerning the procedure of testing in a home testing station is described in the QMS (internal document: Standard Operation Procedure: LMT-SEN-A5-303_translated EN → Sensory Evaluation at Home Testing Stations).
Within the DOP each panelist has set up a personal testing station in a room in his or her home, which meets the test conditions of the IOC in terms of light, temperature, noise, and odors (COI/T.20/DOC. No 6/Rev. 1). The mobile booth is made up of folding elements in such a way that the panelist is isolated from negative ambient conditions. Each test station is equipped with a heating device (Ettore Pasquali, mod. 145), a thermometer (Testo Mini penetration thermometer), and blue glasses, including a cover glass. Each heating device and the thermometer is recorded in a device list of the QMS and is checked regularly. Detailed information can be found in the QMS (internal document: Standard Operation Procedure SOP 07-02-02).
On the “Pro” side (Table 2) there is—like for a lab situation—as well a high level of standardization because as well home testing stations provide ISO accreditation. Asynchronous testing increases flexibility for scheduling tests, meaning that testers do not have to be available at the same time, only in a defined period. Less traveling time and costs are positive and of course—like in the lab situation—as well at home testing stations, electronic equipment for data collection and analysis is used.
Pros | Cons |
---|---|
ISO 17025 accreditation leads to a high level of standardization → controlled test situation, panelist/panel performance, etc. | Sample dispatch is needed → 30 ml (per olive oil) in dark glass bottles and use of styroporous boxes which secure sample temperature |
Asynchronous testing enables high flexibility in terms of timing/scheduling tests → testers do not have to be available at the same, they have to respect deadlines, but otherwise can plan rather independently | Sample preparation (pouring 15 ml) in coded glass is done by each panelist → half of the whole 30 ml quantum |
Asynchronous testing (8–12 panelists) → no relevance because of training status | |
Less requirement of traveling-time because of remote testing (at home) | Other potential influencing factors (malfunction interruption, noise, etc.) … |
Use of electronic equipment to collect, compile and analyze data |
Pros/cons of a test situation at a home testing station.
On the “Contra” side (Table 2), we see that a sample dispatch is needed, which must be well organized regarding packaging and preparation of samples. For temperature protection during transport, Styrofoam boxes are used, and the oil is coded and bottled to dark 30 ml bottles. Sample preparation, directly before testing, is done by the panelist. He or she must pour out exactly half of the bottle (15 from 30 ml). Asynchronous testing is of course different compared to asynchronous lab testing situation, but since panelists are well trained on using the methodology and it is always (as well in the lab) a single panelist evaluation before compiling data, this does not lead to any problems. Finally, and again like in the lab situation, there is of course potential for additional interruptions (noise, malfunction, or else).
The applied sensory methodology is based on the official panel test according to the regulation EEC regulation 2568/91 [1] and related IOC documents.
To be able to record high data quality in the context of sensory evaluation of olive oil, the reliability and validity of raw data must be ensured. Therefore, a study concept, based on the recommendations of the IOC (COI/T.28/Doc. No.1/Rev. 5 2019), was considered. Among other criteria, analyzing the panelist and panel performance, the concept focuses especially on the aspect of the test situation (sensory laboratory versus home testing stations) (Table 3).
Validation criteria.
Both participating panels did evaluate the same selection of 10 olive oils (same lot number) “
No. | Sample code* | Product information |
---|---|---|
P1 | 104 | 100% Italian olive oil; different varieties, extra virgin |
P2 | 507 | European Blend; different varieties, extra virgin |
P3 | 620 | 100% Italian olive oil, 100% Nocellara, extra virgin |
P4 | 733 | 100% Italian olive oil; different varieties, extra virgin |
P5 | 249 | 100% French olive oil; different varieties, extra virgin |
P6 | 362 | Olive Oil from IOC Org 2—2020, extra virgin |
P7 | 878 | Olive Oil from IOC Org 1—2020, defective |
P8 | 168 | Olive Oil from IOC Org 1—2020, extra virgin |
P9 | 055 | Olive Oil from IOC Org 2—2020, defective |
P10 | 652 | Olive Oil from IOC Org 2—2020, defective |
Test samples.
For each test situation, individual three-digit codes were used to avoid influencing the testers.
Both participating panels did evaluate the test samples in the same period, but independently. The evaluation criteria on the used profile sheets from both panels (electronically/paper) were identical, corresponding with the EEC regulation 2568/91 [1].
To collect data in the sensory laboratory of ZHAW, panelists from SOP are provided with PC’s in the test booth, equipped with the sensory software “Fizz” (Biosystemes Fizz for Windows 2.46 A), which allows direct electronic recording of individual panelist data on an electronic profile sheet.
For the collection of data at home testing stations, panelists from SOP use a profile sheet (paper) and transfer individual panelist data, online via the internet, to the panel leader, using the software “LimeSurvey.”
To collect data in the sensory laboratory situation, panelists from DOP are provided with PC’s in the test booth, equipped with the software “SENSORY” (IMEDIA), which allows direct electronic recording of individual panelist data on an electronic profile sheet.
For the collection of data at home testing stations, panelists from DOP use a profile sheet (paper) and transfer individual panelist data, online via the internet, to the panel leader, using the software “SENSORY” (IMEDIA).
All results of the different tasting sessions with all panelists and all panels were combined to a common data set, using the software program “Excel” (Microsoft Office Excel 365). The following data evaluation was done with help of the Add-in Software “XLStat” (version 2020).
In the study at hand altogether 10 olive oils (seven of them extra virgin and three defective ones) were independently tested by the Swiss Olive Oil Panel/SOP (nine panelists) and the German Olive Oil Panel/DOP (11 panelists) in different test situations—namely in sensory laboratories (
Agreement between test situation (
Agreement (homogeneity) between panels (SOP versus DOP)
Individual performance of both panels (SOP, DOP)
All data/panel results were valid according to IOC specifications (e.g., Cvr < 20%).
First, and for both panels separately, the agreement between data collected in different test situations—sensory laboratory (
Looking at the attribute fruitiness, Figure 1 shows the comparison of the two medians per sample of all seven extra virgin olive oils. The maximum difference found was 0.4 for sample 249 (Figure 2). So, one can say, that—for the attribute fruitiness—there is no significant difference between results coming from
Median of fruitiness (SOP)—
Median of bitterness (SOP)—
Contrast | Difference | Standardized difference | Critical value | P-value | Significant |
---|---|---|---|---|---|
0.142 | 0.991 | 2.120 | 0.336 | No |
Mixed model ANOVA for fruitiness (SOP)—
For bitterness, you can easily see in Figure 3 that there were found as well similar medians for all analyzed oils. The maximum difference was 0.3 for sample 104. Similar to fruitiness, as well as bitterness, there is no significant difference between results coming from the
Median of main defect (SOP)—
Contrast | Difference | Standardized difference | Critical value | P-value | Significant |
---|---|---|---|---|---|
0.065 | 0.532 | 2.120 | 0.602 | No |
Mixed-model ANOVA for bitterness (SOP)—
For pungency, not surprisingly the comparison of medians in all seven oils in Figure 4 shows only slight differences. The maximum difference found is 0.5 for sample 249. Again, there is no significant difference between results coming from the lab (
Median of pungency (SOP)—
Contrast | Difference | Standardized difference | Critical value | Significant | |
---|---|---|---|---|---|
0.017 | 0.125 | 2.120 | 0.902 | No |
Mixed-model ANOVA for pungency (SOP)—
Finally, Figure 5 focuses on defects and visualizes the comparison of medians of the main defect of the three defective olive oils. The maximum difference between medians was 0.4 for sample 878. So as well for defects, we can see no significant difference between results coming from the
Median of bitterness (DOP)—
Contrast | Difference | Standardized difference | Critical value | Significant | |
---|---|---|---|---|---|
0.082 | 0.289 | 2.086 | 0.775 | No |
Mixed-model ANOVA for main defects (SOP)—
Looking at the attribute fruitiness, Figure 6 visualizes the comparison of the medians of all seven extra virgin olive oils analyzed. Like for SOP, as well for DOP the maximum difference between medians for very small, in this case, 0.4 for sample 362. This proves that there is no significant difference between results coming from the
Median of fruitiness (DOP)—
Contrast | Difference | Standardized difference | Critical value | Significant | |
---|---|---|---|---|---|
0.004 | 0.044 | 2.086 | 0.966 | No |
Mixed-model ANOVA for fruitiness (DOP)—
For bitterness, Figure 5 visualizes the comparison of the median of all extra virgin olive oils analyzed. The maximum difference between medians is 0.2 for samples 104 and 507. There is no significant difference between results coming from
Contrast | Difference | Standardized difference | Critical value | Significant | |
---|---|---|---|---|---|
0.095 | 1.500 | 2.086 | 0.149 | No |
Mixed-model ANOVA for bitterness (DOP)—
For pungency, Figure 7 visualizes the comparison of the median of all extra virgin olive oils analyzed. The maximum difference between medians is 0.3 for samples 104 and 362. There is no significant difference between results coming from the
Median of pungency (DOP)—
Contrast | Difference | Standardized difference | Critical value | Significant | |
---|---|---|---|---|---|
0.134 | 1.958 | 2.086 | 0.064 | No |
Mixed-model ANOVA for pungency (DOP)—
Finally, Figure 8 focuses on defects and visualizes the comparison of the median of the main defect of the 3 defective olive oils. The maximum difference between medians is 0.2 for samples 055 and 652. There is no significant difference between results coming from the
Median of main defect (DOP)—
Contrast | Difference | Standardized difference | Critical value | Significant | |
---|---|---|---|---|---|
0.078 | 0.142 | 2.120 | 0.889 | No |
Mixed-model ANOVA for main defects (DOP)—
Second, mixed-model ANOVA was used to analyze whether there exist differences between the data collected from the two IOC-recognized panels separately. It was found that there are statistically significant differences between the two panels. The largest difference for the mean value is 0.5 on a 10 cm scale. This means, that panels show variance, but nevertheless, results are within the expected and accepted variation proposed by the IOC.
For the attribute fruitiness “
Median of fruitiness (SOP versus DOP)—
Median of fruitiness (SOP versus DOP)—remote.
Contrast | Difference | Standardized difference | Critical value | Significant | |
---|---|---|---|---|---|
SOP versus DOP | 0.181 | 2.702 | 1.978 | 0.008 | Yes |
Mixed-model ANOVA for fruitiness (SOP versus DOP).
This is as well the case for the other positive attributes—bitterness and pungency. Regardless that the comparisons of panels show significant differences, it can be stated, that the maximum deviation in the mean value was in all attributes only 0.5.
A similar situation is found for the main defects “
Median of main defect (SOP versus DOP)—
Median of main defect (SOP versus DOP)—remote.
Contrast | Difference | Standardized difference | Critical value | Significant | |
---|---|---|---|---|---|
SOP versus DOP | 1.449 | 3.853 | 2.002 | <0.0001 | Yes |
Mixed-model ANOVA for main defect (SOP versus DOP).
Based on the shown data, it can be concluded, that even if the “difference between panels” (DOP/SOP) is significant, the variance in all cases is well below the IOC accepted differences between recognized panels.
Third, and based on the document COI/T.28/Doc. No.1/Rev. 52,019, the panel performance for both panels were analyzed according to the following selected criteria:
The calculation of the
*Reference result = median of results from all four considered test situations (DOP remote, DOP
SD = maximum standard deviation of the method = ±0.7
Warning limit = ±2
Action limit = ±3
→ Proof of trueness/homogeneous results (statistically acceptable)
We can see in Figures 13 and 14 for the attribute fruitiness, that for
The calculation of the DNp (deviation number for panels) focuses on the sum of differences (squared) between duplicate results (median) and the reference result (median) in relation to the number of reference samples (in our case 4). The reference result (in this study) is defined as the mean over all four test results.
DNp = sum of differences (squared) between duplicate results (median) and the reference result* (median) in relation to the number of reference samples (4).
*Reference result = median of results from all considered test situations (DOP remote, DOP
Duplicate = comparison between
Number of samples building the reference mean = 4
→ Proof of trueness/homogeneous results (statistically acceptable)
Figure 15 shows for the attribute fruitiness, that the deviation number for SOP is in line with the requirements, that is: well below the warning limit of 1.0 and the action limit of 2.0). This is the case for bitterness and pungency as well, not shown here. Based on these findings, it is proven that results of SOP are homogeneous between different test situations and statistically acceptable (= aspect of trueness).
DNp (SOP) fruitiness (
The calculation of the
Duplicate = comparison between
SD = maximum standard deviation of the method (or maximum error) ± 0.7
→ Proof of precision/consistent results (statistically acceptable)
Coming to the aspect of “Precision” (repeatability, consistency), we can see in the figure for fruitiness (Figure 16) that results of the normalized error from SOP are in line with the requirements, that is—well below the action limit of 1.0. This is the case for bitterness and pungency as well, not shown here. Based on these findings, it can be concluded that results of SOP are repeatable between different test situations and statistically acceptable (precise, consistent).
The calculation of the PNp (the precision number for panels) focuses on the sum of differences (squared) between duplicate panel results (mean) in relation to the number of duplicate samples (in this study 10).
PNp = sum of differences (squared) between duplicate panel results (mean) in relation to the number of duplicate samples (10)
Duplicate = comparison between
Number of duplicate samples = 10
→ Proof of precision/consistent results (statistically acceptable)
We can see in the figure for fruitiness (Figure 17) that the results of the precision number for panels from SOP are in line with the requirements, that is—well below the action limit of 2.0. This is the case for bitterness and pungency as well, but not shown here. Based on these findings, it is proven that results of SOP are consistent and precise between different test situations and statistically acceptable.
PNp (SOP) fruitiness (
To prove data quality in terms of reliability and validity, 10 olive oils (seven of them extra virgin and three defective ones) were independently tested by the Swiss Olive Oil Panel/SOP (nine panelists) and the German Olive Oil Panel/DOP (11 panelists) in different test situations—namely in sensory laboratories (
Analyzing the raw data, various aspects of panel performance were looked at—especially the different test situations (
The individual panel performance per panel [3] shows that both panels meet the requirements from IOC.
Significant differences between the two considered olive oil panels were found, but the variation is within the accepted limits required by the IOC.
No significant differences between test situations (
Overall, results show that the influence of testing through different panels (SOP versus DOP) is bigger than the impact of testing in different test situations (
Besides the convincing findings from this study—many comparison tests over the last years took place proofing reliability and precision of tests taking place either
In the future, it will be valuable to set up advanced follow-up studies with even more participating panels from different countries to regularly confirm findings and strengthen the trust in the data and conclusions of the study at hand.
Our thanks go especially to the panelists from the two involved panels—the German Olive Oil Panel DOP and the Swiss Olive Oil Panel SOP—as well as to their panel leaders: Richard Retsch from DOP and Martin Popp/Annette Bongartz from SOP.
The authors declare no conflict of interest.
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In this chapter we discuss how pedagogy, the science and art of teaching, can promote the educational goals identified in the curriculum. In this chapter we adhere to the Didaktik curriculum tradition in which values and morals are emphasized in guiding the teaching-studying-learning process. This means that pedagogy is moral in nature, and the teacher’s main task is to reflect the values underlying her teaching and the purposes she wants to advance in her teaching. 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Learning is meaningful when the student comprehends the relationship of what is being learned to other knowledge. Furthermore, concept map measures aspects of learning, which conventional tests cannot measure such as students’ misconceptions. 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Accordingly, the education levels of the labor force were also changed. The science, technology, engineering, and mathematics (STEM) education model in most countries aims to teach science, mathematics, technology, and engineering in relation to primary, secondary, high school, and higher education. STEM education, which has an impact in our country in recent years, has an important role in acquiring new skills, supporting creativity, innovation, and entrepreneurship, gaining the ability to transition between professions and adapting to new occupations. Nowadays, technology is expected to have different skills from individuals who will work in different fields with rapid development. Also, different teaching strategies play a major role in STEM integration and training. One of them, mathematical modeling, is the process of analyzing real-life or realistic situation using mathematical methods in the most general sense. The idea that mathematical modeling cycles should be used in STEM education at all levels from primary to tertiary education has gained importance in recent years, since it increases the students’ motivation towards the lesson and they learn better by concentrating their attention.",book:{id:"8039",slug:"theorizing-stem-education-in-the-21st-century",title:"Theorizing STEM Education in the 21st Century",fullTitle:"Theorizing STEM Education in the 21st Century"},signatures:"Murat Tezer",authors:[{id:"299964",title:"Associate Prof.",name:"Murat",middleName:null,surname:"Tezer",slug:"murat-tezer",fullName:"Murat Tezer"}]},{id:"66203",title:"Including Students with Disabilities in a Physical Education Teacher Preparation Program: An Institutional Perspective",slug:"including-students-with-disabilities-in-a-physical-education-teacher-preparation-program-an-institut",totalDownloads:1979,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"The increasing number of students with disabilities who have the goal of becoming a teacher in either elementary or high school is one of the challenges we are currently facing at the academic colleges of education in Israel. In this chapter, we address the inclusion challenge, namely how we have taken up the challenge to modify one existing teacher preparation program (TPP) in physical education (PE) to enable students with disabilities to study at the same level as the other students who are enrolled in the program. The chapter is composed of four sections. In the first section, we introduce the term inclusive education, elaborate upon its concepts, and highlight a number of developmental phases associated with this term. In the second section, we present the theoretical background and the practical frameworks of an inclusive pedagogy. In the third section, we describe a number of actions taken in one college that enabled students with disabilities to enroll in a PE TPP. In the fourth section, we conclude our discussion and provide a number of ideas for future research, in order to strengthen the understanding of how to integrate students with disabilities in PE TPP.",book:{id:"7804",slug:"teacher-education-in-the-21st-century",title:"Teacher Education in the 21st Century",fullTitle:"Teacher Education in the 21st Century"},signatures:"Ronnie Lidor and Yeshayahu Hutzler",authors:[{id:"293567",title:"Dr.",name:"Ronnie",middleName:null,surname:"Lidor",slug:"ronnie-lidor",fullName:"Ronnie Lidor"},{id:"293600",title:"Prof.",name:"Yeshayahu",middleName:null,surname:"Hutzler",slug:"yeshayahu-hutzler",fullName:"Yeshayahu Hutzler"}]},{id:"69651",title:"Parental Engagement in Children’s Learning: A Holistic Approach to Teacher-Parents’ Partnerships",slug:"parental-engagement-in-children-s-learning-a-holistic-approach-to-teacher-parents-partnerships",totalDownloads:1425,totalCrossrefCites:6,totalDimensionsCites:9,abstract:"This study presents the standpoint of parental engagement, conceptualized by Janet Goodall and collaborators, as a framework that is coherent to the principles of the holistic approach of pedagogy to teacher-parents’ partnerships. 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He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). 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Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. 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Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},subseries:[{id:"7",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",annualVolume:11403,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"5886",title:"Dr.",name:"Alexandros",middleName:"T.",surname:"Tzallas",fullName:"Alexandros Tzallas",profilePictureURL:"https://mts.intechopen.com/storage/users/5886/images/system/5886.png",institutionString:"University of Ioannina, Greece & Imperial College London",institution:{name:"University of Ioannina",institutionURL:null,country:{name:"Greece"}}},{id:"257388",title:"Distinguished Prof.",name:"Lulu",middleName:null,surname:"Wang",fullName:"Lulu Wang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRX6kQAG/Profile_Picture_1630329584194",institutionString:"Shenzhen Technology University",institution:{name:"Shenzhen Technology University",institutionURL:null,country:{name:"China"}}},{id:"225387",title:"Prof.",name:"Reda R.",middleName:"R.",surname:"Gharieb",fullName:"Reda R. Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. Osma",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDv7QAG/Profile_Picture_1626602531691",institutionString:null,institution:{name:"Universidad de Los Andes",institutionURL:null,country:{name:"Colombia"}}},{id:"69697",title:"Dr.",name:"Mani T.",middleName:null,surname:"Valarmathi",fullName:"Mani T. Valarmathi",profilePictureURL:"https://mts.intechopen.com/storage/users/69697/images/system/69697.jpg",institutionString:"Religen Inc. | A Life Science Company, United States of America",institution:null},{id:"205081",title:"Dr.",name:"Marco",middleName:"Vinícius",surname:"Chaud",fullName:"Marco Chaud",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDGeQAO/Profile_Picture_1622624307737",institutionString:null,institution:{name:"Universidade de Sorocaba",institutionURL:null,country:{name:"Brazil"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/69763",hash:"",query:{},params:{id:"69763"},fullPath:"/chapters/69763",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()