Journal of Petroleum Science and Engineering 182 (2019) 106263 Contents lists available at ScienceDirect Journal of Petroleum Science and Engineering journal homepage: www.elsevier.com/locate/petrol A critical review of concept and methods related to accessible pore volume during polymer-enhanced oil recovery T Saeed Akbaria, Syed Mohammad Mahmoodb,∗, Negar Hadian Nasra, Sameer Al-Hajria, Maziyar Sabetc a Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Tronoh 32610, Malaysia Shale Gas Research Group (SGRG), Institute of Hydrocarbon Recovery, Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Tronoh 32610, Malaysia c Petroleum and Chemical Engineering, Universiti Teknologi Brunei, BE1410, Brunei b A R T I C LE I N FO A B S T R A C T Keywords: Inaccessible pore volume (IPV) Polymer flooding Single-slug experiment Double-slug experiment Excluded pore volume (EPV) Tracer Polymer flooding is an enhanced oil recovery (EOR) technique that improves frontal stability problems associated with waterflooding. It has two primary mechanisms, the reduction of mobility ratio and improvement of conformance in heterogeneous reservoirs with a high coefficient of permeability variation (V). The former mechanism is more pertinent to heavy oil whereas later is to light oil reservoir. It is imperative to estimate the adsorption/retention losses for designing a slug that maintains integrity until the target destination. The optimum polymer slug is determined using reservoir simulators such as CMG & ECLIPSE, which require adsorption loss data per unit of the accessible pore volume. Unlike water, polymer molecules are not able to penetrate the entire pore volume due to size and wall exclusion. The fraction of total pore volume, which is not available for polymer invasion is called IPV (Inaccessible Pore Volume). This paper reviews and critically evaluates IPV whose determination is essential for finding polymer losses to the accessible pore volume. The five methods available for IPV determination fall into either tracer-laden or tracer-free category. For tracer-laden, the analysis is based on separation area between the tracer and polymer profiles or breakthrough time gap. It was observed that estimation based on the separation between the tracer profile of the first injected polymer slug and a polymer profile of the second injected slug is likely to provide the most accurate IPV value. It is hoped that this critical review could guide researchers in selecting a suitable IPV estimation method for their polymer flooding studies depending upon the complexity & time required and the availability of equipment in their laboratory. 1. An introduction to polymer losses in porous media The primary recovery from oil reservoirs due to pressure depletion is generally very low and ranges from 10 to 20% (Dembicki, 2017). A secondary technique, such as water injection into oil reservoirs, is commonly employed to enhance oil recovery by 15–55% (Lake, 2010). Best recovery with piston-like displacement is expected when the mobility of injected water (kw/μw) is about the same or higher than the mobility of reservoir oil (ko/μo). Otherwise, the flood front may form fingering or encounter other destabilizing phenomena, as shown in Fig. 1(a). The instabilities could be worse in layered or fractured reservoirs. In polymer flooding, injected water viscosity is increased with a polymer to control mobility and thereby improve sweep efficiency (Akbari et al., 2017; Green and Willhite, 1998; Kaminsky et al., 2007; Seright, 2016; Zhang et al., 2010). An idealized polymer flood is shown in Fig. 1(b). Whereas polymer flooding is an established technology, it encounters polymer retention in the reservoir, causing a considerable decrease in the effectiveness of oil displacement. The polymer is retained in the porous media because of the following reasons (Chen et al., 2016; Choi et al., 2014; Dominguez and Willhite, 1977; Farajzadeh et al., 2016; Huh et al., 1990; Sheng, 2011; Sorbie, 1991; Szabo, 1975; Zhang and Seright, 2015); a. Polymer Adsorption: Some polymer molecules are adsorbed on the rock surfaces to which they come in contact. b. Mechanical Entrapment: Some polymer molecules entering the pores may not move further due to their hydrodynamic size because ∗ Corresponding author. E-mail addresses: akbari.sa70@gmail.com (S. Akbari), mohammad.mahmood@utp.edu.my (S.M. Mahmood), negar.hadian@gmail.com (N.H. Nasr), ensamyo87@gmail.com (S. Al-Hajri), maziyar.sabet@utb.edu.bn (M. Sabet). https://doi.org/10.1016/j.petrol.2019.106263 Received 9 November 2018; Received in revised form 2 July 2019; Accepted 11 July 2019 Available online 12 July 2019 0920-4105/ © 2019 Elsevier B.V. All rights reserved. Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. Abbreviations EPV IPV* IPV PV BPV APV RRF Mw Cp* (pv ) Excluded Pore Volume due to wall exclusion effect Inaccessible pore volume due to only size exclusion effect Inaccessible pore volume due to the combined effect of size (IPV*) and the wall (EPV) exclusion effects Pore volume bulk pore volume Accessible pore volume Residual resistance factor Cs* (pv ) PVct *= 0.5 PVcp*= 0.5 Cp Ĉp ap bp ∇pwa Nomenclature ϕ ϕeff Ci Cio Original porosity Effective porosity Effluent concentration collected at the core outlet Injected concentration into a core ∇pwb Molecular weight normalized concentrations of the polymer as a function of injected pore volume normalized concentrations of the tracer as a function of injected pore volume Injected pore volumes of tracer when the normalized concentrations in the effluent reach 0.5 Injected pore volumes of the polymer when the normalized concentrations in the effluent reach 0.5 Injected polymer concentration Adsorbed polymer concentration Maximum mono-layer coverage capacity in Eq. (7) The tuning parameter used in Eq. (7) The pressure drop due to the flow of brine after the polymer slug is injected The pressure drop due to the flow of brine before polymer injection Fig. 1. Comparison of water transportation in (a) water flooding and (b) polymer flooding. Fig. 2 provides a schematic diagram of polymer retention mechanisms in a porous medium, as listed above. A comprehensive explanation of different polymer retention mechanisms is provided by Sorbie (1991). Several methods have been proposed to measure polymer retention (Al-Hajri et al., 2018; Dawson and Lantz, 1972; Dominguez and Willhite, 1977; Huh et al., 1990; Szabo, 1975; Zhang and Seright, 2013). the open pore throats for exit are too narrow to allow further propagation and therefore are entrapped. c. Hydrodynamic Retention: Some polymer molecules enter in areas (e.g., corners or dead ends) where they are shielded from the driving forces due to laying outside the flow streamlines. Therefore, they seize to flow and get temporarily entrapped until the streamlines are re-distributed. This phenomenon is often referred to as flow-induced hydrodynamic retention. 2. Inaccessible pore volume (IPV) It is important to emphasize that deep in the reservoir, which is the focus for reservoir performance; the polymer retention is mainly due to adsorption. The mechanical entrapment and hydrodynamic retention are significant at high flow rate conditions that are encountered only near the injection well. Most fluids, including water and tracer, can pass through entire pore volume of a porous medium. On the contrary, there often is a fraction of pore volume into which polymer molecules may not be able to invade because of their large molecular size and flexible structure. This 2 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. for reservoir simulation. It is, therefore, necessary to measure IPV that later needs to be deducted from the total pore volume to compute the accessible pore volume. The determination of IPV by core flooding tests is not a straightforward process. The polymer adsorption decelerates polymer propagation, whereas IPV accelerates it. The coexistence of these two opposing factors complicates the interpretation of effluent polymer profiles (AlSofi et al., 2017b; Clemens et al., 2016; Zhang and Seright, 2013). Fig. 3 is an idealized diagram of normalized polymer concentration (Ci/Cio, effluent concentration/injected concentration) profile during the injection of one pore volume slug of a polymer solution containing tracer followed by brine injection. Assuming there is no diffusion/dispersion between polymer slug and leading or trailing brine, the four possible scenarios are depicted in Fig. 3. Polymer profile is shown in black, whereas the tracer profile is shown in red. Since the tracer is not affected by adsorption or IPV, it always breaks through at 1 PV and cuts off at 2 PV. The piston-like profile shown in this figure is possible only in case of homogenous cores where the injected phase has lower mobility than the displaced fluid, and the flow rate is low enough to support a stable front. A comparison of polymer profile viz a viz’ the tracer profile provides a powerful diagnostic tool to assess the degree of adsorption and IPV. In Fig. 3 (a), the polymer and tracer profiles are coinciding, indicating that there is no adsorption and no inaccessible pore volume. Fig. 3 (b) is showing polymer breaks through at 0.75 pore volume and cuts off at 1.75 PV (both 25% prematurely compared to tracer) implying the presence of 25% inaccessible pore volume but no adsorption. The tracer profile in Fig. 3 (c) is showing polymer breakthrough at 1.2 PV (20% delayed) compared to tracer indicating 20% adsorption. The polymer cutoff is at 1 PV coinciding with tracer because there is no IPV. Section (d) of Fig. 3 illustrates the polymer cutoff at 1.75 PV (25% prematurely) because of IPV alone since the back edge is not affected by adsorption. The breakthrough time is seen as 0.95 PV (5% prematurely) because it should have been advanced by 25% due to IPV and should have been delayed by 20% due to adsorption, thus a net advancement of the front by 5%. In summary, the polymer bank appears earlier than expected when IPV is present due to the quantity of the pore volume that is not accessible to the polymer. Thus the entire breakout curve is shifted forward (earlier). In contrast, adsorption postpones the front edge without having an effect on the back edge, decreasing the size of the bank. When both effects are combined, a bank that is shifted forward and is Fig. 2. Schematic diagram of polymer retention mechanisms in a porous medium. Adapted from (Huh et al., 1990). volume, which is not accessible to polymer molecules, is called inaccessible pore volume (IPV). Many polymer flooding studies have reported that polymer molecules are transported at a higher velocity than the non-adsorbing inert tracers after the retention is completed (Dawson and Lantz, 1972; Zaitoun and Kohler, 1987). They attributed this difference of post-adsorption velocities to the presence of IPV. A similar conclusion was also drawn by other researchers (Bartelds et al., 1997; Unsal et al., 2018). Another supporting evidence came from the coreflood experiments of Stavland et al. (2010) wherein the calculated apparent viscosity was lower than what would have been expected from bulk rheology at low injection rates. Since their polymer was shear-thinning, they attributed the lower than anticipated effective viscosity to the possibility of a higher than anticipated effective velocity through porous media. This observation was suggested to be due to the existence of a part of the pore volume that was not available to polymer flow. 3. IPV and its importance for polymer loss estimation Polymer adsorption is frequently expressed in lab studies as microgram (μg) of polymer per gram of rock. However, since the adsorption can take place only in the accessible pore volumes in porous media, it is customary to report adsorption (or retention) as the adsorbed polymer mass per unit of accessible pore volume ( μ gram of polymer ) accessible PV Fig. 3. Idealized polymer (black) and tracer (red) breakout curves for a bank size of 1 pore volume in different conditions; a) No adsorption and no inaccessible pore volume, b) No adsorption and 25% inaccessible pore volume, c) 20% pore volume adsorption and no inaccessible pore volume, d) 20% pore volume adsorption and 25% inaccessible pore volume. Adopted from (Dawson and Lantz, 1972). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.) 3 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. and electrolytes, concentrations, saturation, molecular weight (Mw), and velocity (Sorbie, 1991). Lower permeability is generally associated with a higher IPV* occupying up to 30% or more of the total pore space (Lake, 1989). A threshold Mw exists for any given pore-throat size or rock permeability above which the polymer molecules are not able to propagate and can be retained upstream the pore throat. For polymer molecules to enter a pore, the ratio of the pore-throat radius and the gyration radius of the polymer, known as Jamming ratio, should be equal to or greater than 5 when polymer is adsorbed on pore walls (Dan-dan et al., 2014; Sheng et al., 2015; Wang et al., 2002). However, when there is no adsorption, Jamming Ratio should be 3 to avoid polymer entrapping at pore throat (Cozic et al., 2009). It is interesting to note that there may be some reservoir rocks having no (or minimal) IPV* allowing polymer molecules to pass through easily. Such rocks generally have high permeability and are composed of well-sorted (uniform) large grains (approaching 1-mm diameter). Another characteristic of such rocks having low IPV* is the lack of cementing and post-deposition diagenetic (chemical) changes in the rocks. smaller is produced (Dawson and Lantz, 1972). Fig. 3, along with the accompanying discussion, show the importance of determining IPV for quantifying polymer retention (Li et al., 2014). These corrections are highly significant, especially in low retention core-flood systems (Fletcher et al., 1991). For the simulation of enhanced oil recovery by polymer flooding process, accurate knowledge of IPV is critical for precise determination of polymer breakthrough times (Liu et al., 2018; Lotsch et al., 1985; Zhao et al., 2017). The effect of IPV is accounted for by reducing the original porosity (ϕ ) to the effective porosity (ϕeff ) as shown in Eq. (1) (Camilleri et al., 1987). ϕeff = (1 − IPV ) ϕ (1) For polymer flooding, many consider the presence of IPV in the reservoir to be advantageous from the economic point of view. It accelerates polymer propagation into the formation, counteracts the diminishing effects of polymer retention, and also decreases polymer losses due to adsorption. This can be especially true if small pores are filled with irreducible or connate water and not the hydrocarbons (AlShalabi, 2018). The presence of IPV may be disadvantageous if a polymer slug is injected after a surfactant slug. The acceleration of polymer due to IPV may cause the polymer from the chase polymer bank to penetrate the surfactant bank and create a lower mobility polymer phase that compromises mobility control (Kolodziej, 1988; Trushenski et al., 1974). Also, the polymer flooding benefit is muted in case of large IPV if the small pores contain oil which will remain unrecovered because the polymer won't be able to access them (Delamaide, 2014). 4.2. Wall exclusion effect In the laminar flow of fluids through a capillary tube, the fluid transports in layers of concentric cylinders that are moving in the direction of flow. The velocity of these layers in vertical direction varies in a way that the central layer has the maximum velocity, and the ones close to the wall have zero velocity. Fig. 5 shows the velocity distribution during laminar flow in a circular tube (parabolic Poiseuille velocity profile (Sutera and Skalak, 1993)). Since the porous media are often modeled as a collection of interconnected converging-diverging capillaries, polymer molecules tend to flow in the center of the pores because of the highest velocity. Fig. 6 shows the existence and movement of polymer molecules through a vertical cross section of a capillary tube. The movement is restricted in the surface boundary layer (a depleted layer having lower polymer concentration) due to the polymer/rock interaction. The molecules in the center, on the other hand, are flowing/rotating freely. The molecules near the wall tend to move towards the higher entropy in the center (entropic exclusion) depleting polymer molecules from the pore volume near the pore wall. The depletion layer effect has been firstly investigated by Chauveteau (1982). This depleted layer is called Excluded Pore Volume (EPV) (Duda et al., 1981; Zaitoun and Chauveteau, 1998). A similar effect is observed for non-Poiseuille (i.e., non-Newtonian) flow conditions. EPV was considered by Teeuw and Hesselink (1980) as the leading cause of the velocity enhancement effect. Accordingly, Sorbie (1991) highlighted that the impact of EPV is case-sensitive and is more dominant for larger pore sizes in which IPV* would be negligible. On the other hand, IPV* is more dominant in cores with smaller pore sizes. Nonetheless, it is important to note that EPV is always present, and its effect cannot be neglected. 4. Various mechanism contributing to the IPV As discussed earlier, a significant consequence of the presence of IPV is the velocity enhancement for the polymer molecules compared to the tracer one. The mechanisms that lead to IPV and therefore, velocity enhancement in porous media are discussed below. 4.1. Size exclusion effect Reservoir rocks are composed of grains of various sizes due to the sedimentation process and other geological processes. Consequently, the pores sizes between those grains also vary widely, some of which may be too small to allow large polymer molecules to penetrate through (Adepoju et al., 2017; Chen et al., 2008; Clemens et al., 2011; de Melo et al., 2002; Delamaide, 2014; Delamaide et al., 2016; Ferreira and Moreno, 2016; Hatzignatiou et al., 2013; Mezzomo et al., 2002; Pancharoen et al., 2010; Qing and Fulin, 2011; Rodriguez Manrique et al., 2014; Sharma et al., 2011; Thiele et al., 2010; Wang et al., 2013; Zhang and Seright, 2013). As a result, a fraction of the total pore volume in porous media is inaccessible to the polymer, whereas water and tracers could pass through (Fig. 4). To properly account for the lack of accessibility in all pores, the bulk pore volume may be divided into two sections as follows: BPV = APV + IPV * (2) where BPV is the bulk pore volume composed of all pores, APV is the fraction of pore volume through which polymer can pass through, and IPV* is the fraction of pore volume through which polymer cannot pass through. The effect of the IPV* is that the polymer molecule progresses through the porous media as if this pore volume does not exist, allowing faster propagation of polymer concentration compared to water (Dawson and Lantz, 1972). The IPV* strongly depends on the characteristics of porous media (such as permeability, porosity, and pore size distribution) and the hydrodynamic size of the polymer in the solution (Alishaeva and Entov, 1983; Sheng, 2011). The latter can be affected by the types of polymer Fig. 4. Schematic diagram of inaccessible pore volume due to size exclusion (IPV*) in porous media. 4 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. In addition, some cores, especially of lower permeability ones, may also have inaccessible pore volume (IPV*) into which polymer may not be able to enter due to the small size of throats compared to polymer molecule size. Whereas EPV exists in all cores, IPV* may be absent in some very high permeability cores. IPV* expedites the polymer breakthrough as compared to the tracer since it has to invade a pore volume that has been reduced by IPV*. No such expedition of breakthrough is observed in tracer since it can invade the entire pore volume due to its smaller sizes. The existence of IPV* can be thought of as reducing the effective area of the core through which polymer has to travel, thus increasing the flow velocity. In practicality, however, it is very difficult to distinguish IPV* and EPV experimentally and often unnecessary to measure IPV* and EPV separately. Therefore, IPV has often been reported as a combination of both wall exclusion and the size exclusion effect in several published works (Poellitzer et al., 2009; Verma et al., 2009). Since this may cause confusion in our discussion in the coming section, we will also refer to the combined effect as inaccessible pore volume (IPV) as defined below: Fig. 5. Velocity profile of liquid flow through a capillary under laminar conditions. IPV = IPV *+ EPV (3) 6. IPV determination with and without tracers IPV can be determined by polymer flooding in porous media using any of the five experimental methods. These five methods fall into two categories; the ones using tracer and the other without tracer. Further explanation of these methods is provided below. 6.1. IPV determination with tracers Fig. 6. Exclusion of molecules near the wall from the free-flowing molecules in the center region. Reproduced from (Sorbie, 1991). This figure has been firstly proposed by Chauveteau and Zaitoun (1981) for rodlike polymer molecules like xanthan gum. The methods using tracers are the ones most commonly used for IPV determination in which an inert tracer (non-retainable) is usually mixed with the polymer solution. As shown in Fig. 3, the breakthrough and cut-off times will not be affected by adsorption or IPV since the selected tracer is not retained/adsorbed in porous media, thus providing a clear picture of front advancement. The methods using tracers described in the following sections have gradually evolved to overcome the uncertainties in adsorption and desorption behavior. 5. IPV as summation of size and wall exclusion effects As mentioned earlier, there is a depleted layer around grains of porous media having lower polymer concentration and restricted movement of the polymer molecules. The depletion layer effect which is due to steric repulsion between the pore wall and macromolecules takes place in all cores, including high permeability ones. In the presence of EPV, polymer molecules encounter entropic driving forces that bring them towards the center of flow where the velocity is highest, thus expediting flow velocity. Contrarily, tracer molecules do not experience an entropic driving force because of their low molecular weight and rigid structure; therefore, travel with normally expected velocity as if there was no EPV. 6.1.1. Dawson & Lantz Method (based on the injection of a single tracerladen polymer slug) First introduced by Dawson and Lantz (1972), this method of IPV estimation in porous media was later utilized by other researchers (AlSofi et al., 2017a, 2017b, 2018; Huh et al., 2009; Najafiazar et al., 2016). In this technique, the porous medium is initially saturated with brine, then several pore volumes of the tracer-laden polymer solution of known concentrations are injected. Effluent samples are collected at Fig. 7. Inaccessible pore volume determination using single slug experiment: (a) in an ideal polymer (black) and tracer (red) breakout curves and (b) in a typical areal flood, adapted from (Dawson and Lantz, 1972). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.) 5 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. unfavorable mobility ratio, this method lacks accuracy because of the long tailing of the back front. In addition to avoiding the viscous fingering, it is vital that no adsorbed or entrapped polymer is released during the washout brine injection to obtain accurate results from this method. This is because if the adsorbed or mechanically trapped components get released during washout brine flooding, the area under the polymer curve may be larger than the tracer area. In this case, the IPV may become negative and lose its original physical meaning (Najafiazar et al., 2016), except that a negative IPV may indicate the release of retained matter. Fig. 8 shows a core flood case where trapped particles were released during the washout brine flooding and produced a much larger area under the cellulose curve than normally expected. Previous studies (Manichand and Seright, 2014; Zhang, 2013) have observed the release of mechanically entrapped and hydrodynamically retained polymer as a result of washout brine flooding for an extended duration, indicating that polymer retention due to these phenomena is reversible. regular intervals from the other end for concentration measurements. Ideally, the injection should continue until the normalized polymer concentration of the effluent becomes 1 (i.e., the injected and produced concentrations are equal). The injection is often terminated after only 2–3 PV since meeting this criterion may take a long time. The next phase involves washing out the polymer that has not been irreversibly-adsorbed by injecting brine of same salinity as was used for initial saturation of the core and the preparation of polymer solution. The brine injection should continue until the washout is complete as evidenced by pressure stabilization and the absence of any measurable polymer or tracer in the effluent. Practically, due to time constraint, the brine injection is stopped after more or less two pore volumes. The normalized concentration is plotted vs. pore volume injected at test conclusion, and a careful comparison is made between the polymer and tracer profiles. The IPV is determined by the areal difference at the trailing (back) edge of the two curves (the shaded areas in Fig. 7). A typical normalized concentration profile of polymer and salt tracer is shown in Fig. 7. Fig. 7 (a) shows an ideal case, where no dispersion or retention mechanism is present other than polymer adsorption. Fig. 7 (b) shows a real example involving dispersion as evidenced by the “S” shape of the breakthrough profiles (Perkins and Johnston, 1963; Rodriguez Manrique et al., 2014) and also mechanical entrapment, which is the primary mechanism for the slow recovery of polymers after breakthrough (Farajzadeh et al., 2016; Huh et al., 1990). For estimating IPV, this method intentionally avoids using the leading edges (unshaded area in Fig. 7), i.e., the tracer and polymer profiles after breakthroughs. This is because polymer adsorption decelerates polymer front advancement whereas IPV accelerates it, thus partially or completely offsetting the lag between polymer and tracer profiles. Therefore, this method estimates IPV by only using the difference between the tracer and the polymer profiles of the trailing edges (i.e., depletions or shaded area in Fig. 7). It is important to consider the impact of viscous fingering on front profiles. During the polymer injection phase, a more viscous fluid (polymer) displaces a less viscous fluid (brine). Thus the frontal interface between the two fluids is stable, i.e., there is no viscous fingering. Therefore, the leading edges of the two profiles are not influenced by instability. In contrast, the situation is reversed during the washout phase when brine is displacing polymer and during which viscous fingering could occur distorting the trailing edge profiles. Since this method uses trailing edge profiles for analysis, it is critical to ascertain that displacement front during the washout period is stable by avoiding high flow rates and gravity-aided core orientation. Otherwise, the tracer profile at cutoff may appear earlier, and the polymer appears later than expected due to faster diffusion (mixing) of the tracer component as compared to the polymer. Therefore, in the case of 6.1.2. Lotsch et al. Method (based on injection of double tracer-laden polymer slugs) First proposed by Lotsch et al. (1985), this method differs from the Dawson & Lantz Method in that a second cycle of polymer injection and brine washout sequence is repeated in the same manner as the first cycle of the Dawson & Lantz method described above. Other researchers have also endorsed this method (Mezzomo et al., 2002; Poellitzer et al., 2009; Wassmuth et al., 2007). It must be emphasized though that the adsorption in the first cycle should be complete before starting the second cycle for obtaining accurate results by this method. IPV is assessed using only the breakthrough front part of the effluent curves during the second polymer slug injection (shaded areas in Fig. 9). The back edges (cutoff) of the first cycle profiles that were used in Dawson & Lantz Method are ignored in this method to avoid the problems and uncertainties associated with viscous fingering and extended production of low concentration fluids (Manichand and Seright, 2014). After sample collection and concentration measurement during the second cycle, the tracer and polymer profiles are analyzed to determine IPV by one of the two proposed strategies: areal difference and breakthrough time difference. 6.1.2.1. IPV determination based on areal differences. For the areal difference strategy, the IPV is determined by finding the separation area between tracer and polymer profiles of the front edge of the second slug, as shown in shaded areas of Fig. 9. An idealized diagram is depicted in Fig. 9 (a) in which the IPV approximation is demonstrated for an ideal case with the absence of dispersion, whereas Fig. 9 (b) Fig. 8. Breakthrough curve for the sandpack flood with 0.5 wt % nanofluid cellulose nanocrystals. Adapted from (Aadland et al., 2018). 6 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. Fig. 9. Inaccessible pore volume determination using double slug experiment in (a) an ideal polymer (black) and tracer (red) breakout curves and in (b) a typical areal flood, adapted from (Zhao et al., 2017). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.) where Cp* (pv ) and Cs* (pv ) are normalized concentrations of polymer and tracer as a function of injected pore volume, respectively. The limits of the integral (20.13 and 29.79) are the pore volumes at the start and end of the separation. The area between the curves can be graphically computed using one of several software such as OriginPro by OriginLab or Prism by GraphPad. The majority of the researchers (Hughes et al., 1990; Lund et al., shows a real example. Equation (4) can be used to obtain IPV from Fig. 9 (b) front edge profiles (Zhao et al., 2017): 29.79 IPV = ∫ (Cp* (pv) − Cs* (pv)) dPV = 25.8% 20.13 (4) Fig. 10. Tracer front shift during two successive Scleroglucan polymer slugs. Adapted from (Fournier et al., 2018). 7 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. 2010; Poellitzer et al., 2009) prefer to use the difference in pore volumes corresponding to 0.5 normalized concentration (Ci*) between polymer front in the second cycle and tracer front in the first cycle. Fig. 12, in which the second cycle is also plotted starting from PV = 0 as the starting point, clarifies this concept. A horizontal line is drawn through the polymer front profile of 2nd cycle up to the tracer front profile of the 1st cycle. The pore volume values corresponding to the 0.5 normalized concentration of the two curves are read by drawing vertical lines at points of intersection between the horizontal line and the corresponding profiles. IPV is considered as the difference between these pore volumes as mathematically expressed in Eq. (5). 1992; Manichand and Seright, 2014; Osterloh and Law, 1998; Wan and Seright, 2016; Zhao et al., 2017) prefer to consider the areal difference between tracer and polymer front edges of the second injection cycle (shaded area of Fig. 9 (b)). An alternative approach preferred by some researchers such as Mukherjee et al. (2018) is to plot the second cycles on the same plot as the first cycle but start counting the pore volume injected from zero so that the second cycle data overlaps the first cycle as shown in Fig. 10. The IPV is then calculated as the difference in area between the secondcycle polymer front-edge profile (curve a) and the first-cycle tracer breakthrough curves (curve c). Whether to use the tracer front profile of the first cycle or the second cycle is still debatable. Some researchers (Ferreira and Moreno, 2017; Fournier et al., 2018) prefer to use the second tracer front in their IPV calculation, not the first one. Sometimes, the first and second tracer fronts overlap at a normalized concentration of 0.5, allowing either tracer front to be used. However, in some cases, such as the one shown in Fig. 10, the first and second tracer front positions are not close to each other. When the gap is significant, the decision as to which of the tracer front profile to use for the IPV calculation should be made carefully. In almost all two-cycle experiments, the second tracer front breakthroughs earlier than the first one (compare curves b & c in Fig. 11) because the polymer adsorption in the first cycle renders some pore volume inaccessible to the tracer in the second cycle, thus reducing the available pore volume for the tracer. Therefore, the area between the first and second tracer profiles measures the pore volume which has been rendered inaccessible to the brine (tracer) (Hughes et al., 1990; Lund et al., 1992; Zaitoun and Kohler, 1987). It is better to calculate IPV as the areal difference between the second polymer front (curve a), and the first tracer front (curve c) since the IPV of only the polymer component needs to be calculated that should not include the IPV of the brine. Moreover, taking Eq. (1) into account as the main equation for computing the effective porosity in reservoir simulators, it is clear that IPV is the primary cause of the difference between effective porosity (ϕeff ) and the original porosity (ϕ ). While the polymer's effective porosity (pore volume at polymer break through time/bulk volume) can be represented by the second polymer front, the original porosity (pore volume at tracer break through time/bulk volume) will be better represented by the first tracer front at first cycle, rather than the tracer front appeared in the second cycle. IPV = (PVct*= 0.5 − PVcp*= 0.5) × 100 (5) where PVct*= 0.5 and PVcp*= 0.5 are the injected pore volumes of tracer and polymer, respectively, when the normalized concentrations in the effluent reaches 0.5. The theory of diffuse percolation states that when a water-saturated core is flooded by a solution at an injected apparent velocity of V, the front having a normalized concentration (Ci*) of 0.5 also moves at V. Therefore, an accurate breakthrough time is th moment that this concentration reaches the outlet (Li et al., 2016). The cumulative injected PV can be considered as the dimensionless breakthrough time of polymer front. Like in the earlier method based on the areal difference, a decision has to be made regarding which of the tracer front profile to use for the IPV calculation. The decision is easier and less significant if the first and second tracer fronts have a small gap, or they overlap entirely. If the gap is significant, however, a choice has to be made carefully after giving due consideration. 6.1.2.3. Mechanical entrapment: IPV method selection. When mechanical entrapment is negligible, both methods (areal and breakthrough-time difference) may yield similar values for IPV (Lund et al., 1992). The results diverge as the role of mechanical entrapment in the polymer retention process increases with decreasing permeability, a condition which is associated with high molecular weight polymer injection into low permeability porous media. An example of the difference in IPV determination by the two methods when mechanical entrapment is occurring is shown in Fig. 13. Without mechanical entrapment, the normalized polymer concentration (curve b) is zero until breakthrough and jump and stays to unity after that. With mechanical entrapment, on the other hand, the breakthrough is slightly delayed (curve c) and the concentration at a breakthrough time jumps from zero to only around 0.5. After that, the concentration gradually increases until eventually reaching unity after many pore volumes of injection. 6.1.2.2. IPV determination based on breakthrough time difference. Several researchers (Al-Hashmi et al., 2016; Al-Maamari et al., 2015; Divers et al., 2018; Dupuis et al., 2017; Gaillard et al., 2014; Pancharoen et al., Fig. 11. Propagation of two successive xanthan slugs through a shaly sand pack. Adapted from (Zaitoun and Kohler, 1987). 8 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. Fig. 12. Inaccessible pore volume determination using a double slug experiment at 0.5 normalized concentration in a typical areal flood. Adapted from (Gaillard et al., 2014). Therefore, the areal difference method can be suggested only for a polymer flooding in which there is no mechanical entrapment suspected. Else, the breakthrough time difference method should be used, which can provide better accuracy for the one in which the mechanical entrapment is suspected. It should be mentioned that if mechanical entrapment occurs during coreflood experiment, the measurement of polymer adsorption on the rock cannot be determined with a high degree of accuracy using the current methods. As can be seen from Fig. 13, the areal difference between tracer profile (curve a) and the polymer profile (curve b) without entrapment is different and much smaller than the tracer profile (curve a) and the polymer profile (curve c) with entrapment. Another observation to be made from Fig. 13 is that the effect of mechanical entrapment on the polymer effluent profile can be observed only after recovering of 50% of injected polymer concentration (curve c) in most cases. The mechanical entrapment of polymer can be a lengthy process leading to a slow polymer recovery in the effluent (Farajzadeh et al., 2016). As shown in Fig. 13, there is no polymer recovery up to Cp* = 0.5 (curve c) and a slow recovery thereafter generating a large areal difference between tracer (curve a) and polymer (curve c) profiles which is not related to the IPV, and which may cause incorrect determination of IPV. 6.1.2.4. Highlighting the statistical differences between different methods. In a little known but an interesting study by Lotsch et al. (1985), the IPV values were determined by each of the four possible methods described above associated with the use of tracers under both oil-free and residual oil saturation conditions. The eight results were Fig. 13. Effect of mechanical entrapment on the concentration profile. Adapted from (Farajzadeh et al., 2016). 9 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. then averaged to obtain the final IPV. The tests were performed on relatively high permeability (1600 md ≤ kw ≤ 2000 md) Bentheimer sandstone cores of normal porosity (22–24%) using two biopolymers (Scleroglucan and Xanthan). Fig. 14 is a hypothetical diagram presented to show the concept of their approach. The values in this figure do not correspond to the data presented in Table 1 though the reference pointers such as A1 correspond to the one in the table and are useful in understanding the concept. A schematic diagram of the test sequence is shown in Fig. 14. The first injected slug had a higher polymer concentration than the second slug to overcome the adsorption losses completely. The polymer concentration in the second slug injection is lower since the role of adsorption has been eliminated by the previous cycle, and the polymer transportation phenomenon is dominant. Injection history is also shown at the end of the figure. Table 1, extracted from Lotsch et al.'s (1985) work, shows the results of IPV determinations using the four different methods for each of the oil-free and at residual oil conditions and the overall average of the eight results. The first cycle of the test was used for the analysis of one method (Dawson & Lantz), and the second cycle was used in the remaining three methods. The front profiles in the second cycle were analyzed by two methods based on Lotsch et al. approach (areal & breakthrough time differences). The last method was Dawson & Lantz back-edge profile areal difference in cycle 2. As evidenced by Table 1, different methods generated different IPV values. The results are likely to be more reliable since having residual oil in one of the tests makes the conditions closer to the hydrocarbon reservoirs for which the tests were conducted in the first place. It is noteworthy to mention that incorrect approximation of IPV will result in an incorrect calculation of polymer losses in the porous media, thereby leading to an inaccurate assessment of project profitability and economic losses. Finding the average of various methods is complicated and timeconsuming because it requires IPV to be computed from all existing approaches. It is not clear if such an average will provide more accurate results under all conditions, though reliability may be slightly improved. For example, if mechanical entrapment is present, then the three methods based on the separation areas of tracer and polymer profiles will be affected and will introduce error in the average IPV. widely and successfully, there may arise a situation where doping with tracer may not be the best option. Three methods that do not require doping with tracers are explained below. 6.2.1. Pore volume at 0.5 of the normalized concentration of second polymer slug Several researchers (Idahosa et al., 2016; Rodriguez Manrique et al., 2014) have applied this method of dual slug polymer injection without a tracer for quick estimation of IPV. The technique requires an estimation of the effective pore volume of the core before polymer slug injection (Seright et al., 2011). The core is fully saturated with brine, and a polymer solution prepared in the same brine is injected until steady-state conditions are reached. The purpose of the first polymer slug is to let the polymer occupy all the adsorption sites. The brine is then injected to wash out all non-retained polymer from the core until reaching to a steady-state condition again. In the second cycle, the polymer is re-injected and continued until reaching a steady-state condition. The count for the cumulative pore volume injection for the second cycle starts from PV = 0. Thus, the PV data is plotted, starting from the origin. The pore volume injection of the second slug when the normalized concentration reached 0.5 is noted (PVcp*= 0.5) and subtracted from 1 to yield IPV as per Eq. (6) (Li et al., 2016): IPV = 1 − PVcp*= 0.5 (6) 6.2. IPV determination without tracers Fig. 15 is an example of a test on an artificial homogenous core. The point Ci/Ci0 = 0.5 (y-axis) corresponds to an injected pore volume of 0.75 (x-axis). Therefore, the computed IPV equals 0.25 (i.e. 1–0.75). Since the method does not include tracer injection, it might be associated with some risks such as having fractures in the porous medium. The polymer breakthrough will happen earlier than expected because of fracture. Thus the measured IPV will be erroneously higher. The fracture problem would have been identified if the tracer was also injected and its concentration measured since the tracer breakthrough would occur before one pore volume injection. Without fracture, the breakthrough would have been expected at one pore volume of injection. Therefore, it is suggested that the homogeneity of the porous media be independently verified using methods such as X-ray CT Scanning to exclude the possibility of fracture or other abnormalities before using this method. The existence of large dead volumes in the coreflood is also a great factor of uncertainty for this method. IPV determination methods using tracers require measurement of tracer concentrations in the effluent samples along with the measurement of polymer concentrations. Whereas tracers have been used 6.2.2. By Simulating Polymer Floods with numerical simulators In CMG (Computer Modelling Group), ECLIPSE, and other numerical simulators having polymer flooding options, there are keywords Fig. 14. Principle of tracer test. Adapted from (Lotsch et al., 1985). 10 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. Table 1 Determination of inaccessible pore volume (IPV). Adopted from (Lotsch et al., 1985).a Xanthan S/PF-4 Oil-Free Conditions Polymer concentration (g/L) The shift of PV between tracer & polymer front end profiles at normalized concentration of 0.5 IPV by profile separation area at the front end (A2) IPV by profile separation area at the backend of cycle 1 (A1) IPV by profile separation area at the backend of cycle 2 (A3) Mean Value a With 30% Residual Oil Cycle 1 Cycle 2 Cycle 1 Cycle 2 2.5 – 1 8 2.5 – 1 10 – 11 9 – 10 – 10 – 10 10 IPV = (8 + 10+9 + 10+11 + 10+10 + 10)/8 = 10 Accuracy ± 2 (% PV) Standard Deviation = 0.9 Values do not correspond to Fig. 14 which is shown as a typical example though the reference pointers such as A1 etc. can still be used to understand the concept. simulation method is thus not favorable if the aim is only to find the IPV. Special consideration is warranted to the polymer adsorption (retention) model when using this approach. Unlike IPV, which can be determined experimentally, there is currently no direct method to obtain polymer adsorption/retention trend as a function of polymer concentration, which is required for simulating polymer flooding in the porous media. The only way to obtain adsorption/retention trend is to use it as a tuning parameter in the history matching process. In a number of commercial simulators such as UTCHEM, CMG, and ECLIPSE, polymer adsorption is demonstrated by the Langmuir isotherm model, which can be mathematically expressed as shown in Eq. (7) (Goudarzi et al., 2013): Cˆp = ap (Cp − Cˆp) 1 + bp (Cp − Cˆp) (7) where Cp and Ĉp are the injected polymer concentration and adsorbed polymer concentration, respectively. Cp - Ĉp is the equilibrium polymer concentration in the rock. ap and bp are the tuning parameters that allow ap to determine the maximum mono-layer coverage capacity. During model validation and the history matching process, the tuning parameters need to be adjusted to find the best match between observed results and simulation results. If both IPV and adsorption/retention are determined by tuning the simulator to match experimental history, the results may not be unique since it is possible to have more than one pair of the tuned values that could adequately match the historical data (Hatzignatiou et al., 2013). This is because the effect of IPV and adsorption/retention on polymer propagation are in the opposite direction, the former accelerates, whereas the later decelerates. The combined effect, therefore, is somewhere in between. In this case, the IPV may be estimated lower or higher than the actual value, depending on the polymer adsorption/ Fig. 15. Dual slug polymer concentration profiles of an artificial homogenous core with 0.1026 μm2 permeability. Adapted from (Li et al., 2016). (e.g., PORFT keyword in the CMG and the first argument of the PLYROCK keyword in the ECLIPSE) to define IPV. The simulator subtracts IPV from the total pore volume to determine the pore volume accessible to polymer for each grid cell. The IPV has been estimated by using it as a tuning parameter in the simulation process of polymer flooding experimental results (AlSofi et al., 2013; Hatzignatiou et al., 2013; Lüftenegger and Clemens, 2017). IPV is found by selecting a value that provides the best match with the experimental data (such as production profile and pressure drop). To simulate a polymer flood accurately, a complete data set such as rock/ fluid properties is required that is time-consuming to acquire. This Table 2 Pros and cons of various IPV determination methods. IPV Determination Method Pros Cons Stavland et al. Empirical. Easiest method requiring only one cycle of polymer flooding data and only RRF extracted from experiments. No tracer injection or tracer measurement required thereby lower complexity of experimental work. only one cycle of polymer flooding. Accuracy of the method not independently verified yet. Pore Volume at 0.5 of the normalized concentration of second polymer slug. Dawson & Lantz Method (Based on the injection of a single tracer-laden polymer slug). Lotsch et al. Method (Based on the injection of double tracer-laden polymer slugs). By Simulating Polymer Floods with Numerical Simulators. Considered as the most reliable technique. Since IPV is used as a tuning parameter only, thus the experimental determination of IPV is not required. 11 Not accurate if the porous medium has a fracture(s) or if the coreflood system has high dead volume. Lacks accuracy because of the long tailing of the back front if mobility ratio is unfavorable. Involves performing two cycles of tracer-laden polymer injection. This method is considered the be the toughest. It requires the rock and fluid properties data that is time-consuming. Then the history matching process is itself a time-consuming process. The results may also not be unique. Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. IPV determination without tracer. retention value. In other words, the best breakthrough time match for the observed effluent profile may be the result of a high (or low) estimation of adsorption and low (or high) estimation of the IPV. Therefore, this method of IPV estimation is risky and should be avoided if possible. It is possible, though not verified, that if both the polymer flooding and the brine flooding for washout are history-matched using both tuning parameters, a unique pair of IPV and adsorption/retention values may be obtained. It is hypothesized that on the basis that the cutoff edge of the polymer slug will possibly not be affected by polymer adsorption/retention. • 6.2.3. Stavland et al. Empirical Model Stavland et al. (2010) proposed a new method for IPV approximation based on the assumption that the porous medium is made of capillary tubes of varying diameters that obey the Poseuille Law. They proposed Eq. (8) to approximate IPV assuming that the residual resistance factor (RRF) defined in Eq. (9) is known. This method has been endorsed later by Hatzignatiou et al. (2013). IPV = 1 − RRF = 1 RRF References Aadland, R., et al., 2018. Identification of nanocellulose retention characteristics in porous media. Nanomaterials 8 (7), 547. Adepoju, O.O., Hussein, H., Chawathe, A., 2017. Assessment of chemical performance uncertainty in chemical EOR simulations. In: SPE Reservoir Simulation Conference. Society of Petroleum Engineers, Montgomery, Texas, USA. Akbari, S., Mahmood, S., Tan, I., Ling, O., Ghaedi, H., 2017. Effect of aging, antioxidant, and mono- and divalent ions at high temperature on the rheology of new polyacrylamide-based Co-polymers. Polymers 9 (10), 480. Al-Hajri, S., Mahmood, S., Abdulelah, H., Akbari, S., 2018. An overview on polymer retention in porous media. Energies 11 (10), 2751. Al-Hashmi, A.R., Divers, T., Al-Maamari, R.S., Favero, C., Thomas, A., 2016. Improving polymer flooding efficiency in Oman oil fields. In: SPE EOR Conference at Oil and Gas West Asia. Society of Petroleum Engineers, Muscat, Oman. Al-Maamari, R.S., et al., 2015. Development of thermo-gels for in depth conformance control. In: SPE Asia Pacific Enhanced Oil Recovery Conference. Society of Petroleum Engineers, Kuala Lumpur, Malaysia. Al-Shalabi, E.W., 2018. Numerical modeling of biopolymer flooding in high-temperature high-salinity carbonate cores. In: Offshore Technology Conference Asia. Offshore Technology Conference, Kuala Lumpur, Malaysia. Alishaeva, O.M., Entov, V.M., 1983. Influence of inaccessible pore volume on the displacement of oil by a polymer solution. Fluid Dyn. 18 (6), 910–915. AlSofi, A.M., Liu, J.S., Han, M., 2013. Numerical simulation of surfactant–polymer coreflooding experiments for carbonates. J. Pet. Sci. Eng. 111, 184–196. AlSofi, A.M., Wang, J., AlShuaibi, A.A., AlGhamdi, F.A., Kaidar, Z.F., 2017a. Systematic development and laboratory evaluation of secondary polymer augmentation for a slightly viscous Arabian heavy reservoir. In: SPE Middle East Oil & Gas Show and Conference. Society of Petroleum Engineers, Manama, Kingdom of Bahrain. AlSofi, A.M., Wang, J., Kaidar, Z.F., 2018. SmartWater synergy with chemical EOR: effects on polymer injectivity, retention and acceleration. J. Pet. Sci. Eng. 166, 274–282. AlSofi, A.M., Wang, J., Leng, Z., Abbad, M., Kaidar, Z.F., 2017b. Assessment of polymer interactions with carbonate rocks and implications for EOR applications. In: SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. Society of Petroleum Engineers, Dammam, Saudi Arabia. Bartelds, G., Bruining, J., Molenaar, J., 1997. The modeling of velocity enhancement in polymer flooding. Transp. Porous Media 26 (1), 75–88. Camilleri, D., et al., 1987. Description of an Improved Compositional Micellar/Polymer Simulator. Chauveteau, G., 1982. Rodlike polymer solution flow through fine pores: influence of pore size on rheological behavior. J. Rheol. 26 (2), 111–142. Chauveteau, G., Zaitoun, A., 1981. Basic rheological behavior of xanthan polysaccharide solutions in porous media: effects of pore size and polymer concentration. In: The First European Symposium on Enhanced Oil Recovery. Elsevier, Bournemouth, England, pp. 197–212. Chen, G., et al., 2008. An applied chemical flooding simulator and its application in daqing oilfield. In: SPE Symposium on Improved Oil Recovery. Society of Petroleum Engineers, Tulsa, Oklahoma, USA. Chen, Z., et al., 2016. A study of factors influencing polymer hydrodynamic retention in porous media. In: SPE Improved Oil Recovery Conference. Society of Petroleum Engineers, Tulsa, Oklahoma, USA. Choi, B.I., Park, K.H., Choi, J.S., Lee, K.S., 2014. New approach for modeling of polymer retention mechanisms-Mechanical entrapment and adsorption. In: 76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014, pp. 1026–1030. Clemens, T., Abdev, J., Thiele, M., 2011. Improved Polymer-Flood Management Using Streamlines. Clemens, T., Lueftenegger, M., Laoroongroj, A., Kadnar, R., Puls, C., 2016. The use of tracer data to determine polymer-flooding effects in a heterogeneous reservoir. In: 8 Torton Horizon Reservoir. Matzen Field, Austria. Cozic, C., Rousseau, D., Tabary, R., 2009. Novel insights into microgel systems for water control. SPE Prod. Oper. 24 (04), 590–601. Dan-dan, Y., Yi-qiang, L., Dong-feng, D.F., Fu-yong, W., Jun-xin, G., 2014. Study on matching relationship of polymer hydrodynamic size and pore throat size for stratum in sand reservoir. In: Offshore Technology Conference-Asia. Offshore Technology Conference. Kuala Lumpur, Malaysia. Dawson, R., Lantz, R.B., 1972. Inaccessible pore volume in polymer flooding. Soc. Pet. Eng. J. 12 (05), 448–452. (8) ∇pwa ∇pwb (9) here ∇pwa is the pressure drop due to the flow of brine after the polymer slug is injected, and ∇pwb is the pressure drop due to the flow of brine before the polymer is injected. The IPV estimation using Eq. (8) needs to be experimentally validated. Although the estimation method is straightforward and only needs RRF to be known, no experimental works have been performed to determine the accuracy of the technique independently. Such verification can be the subject of future research. 7. Comparing the advantages and disadvantages of each IPV method The discussion presented above is summarized in Table 2 to allow for an informed decision before selecting an IPV method based on the accuracy requirements. 8. Summary and concluding remarks In a polymer flooding process, the inaccessible pore volume (IPV) is a pore volume through which water/brine can propagate but not the polymer molecules. IPV accelerates polymer propagation due to the availability of lesser pore volume for polymers. The polymer retention (especially adsorption), on the other hand, decelerate polymer front advancement due to the loss of polymer. The opposing effects of IPV and adsorption/retention on the rate of front advancement makes deciphering their relative contributions from the effluent profiles complicated. Thus, IPV has to be determined a priori’ before effluent profiles can be interpreted correctly for adsorption. Five methods of measuring IPV have been reviewed in this paper, both with and without tracer. Significant merits, limitations, and precautions of these IPV methods are provided below: IPV determination with tracer. • • Pore Volume at 0.5 of the normalized concentration of second polymer slug: One should be sure that the porous medium is not fractured by using methods such as X-ray CT Scanning. • Stavland et al. Empirical Model: This method of IPV estimation needs to be validated experimentally. This verification can be the subject of future works. By Simulating Polymer Floods with Numerical Simulators: This method of estimation is associated with a high level of risk and is not recommended. • Dawson & Lantz Method (Based on the injection of a single tracer-laden polymer slug): One should be confident that viscous fingering is negligible, and that no adsorbed or entrapped polymer can be released. Lotsch et al. Method (Based on injection of double tracer-laden polymer slugs): Considered to be the best method provided that the first tracer front is taken into account, rather than the tracer front of the second slug. 12 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. Manichand, R.N., Seright, R., 2014. Field vs. Laboratory polymer-retention values for a polymer flood in the tambaredjo field. In: SPE Improved Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma, USA. Mezzomo, R.F., Moczydlower, P., Sanmartin, A.N., Araujo, C.H.V., 2002. A new approach to the determination of polymer concentration in reservoir rock adsorption tests. In: SPE/DOE Improved Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma. Mukherjee, S., et al., 2018. Injectivity, propagation and retention of biopolymer schizophyllan in porous media. In: SPE EOR Conference at Oil and Gas West Asia. Society of Petroleum Engineers, Muscat, Oman. Najafiazar, B., et al., 2016. Transport properties of functionalised silica nanoparticles in porous media. In: SPE Bergen One Day Seminar. Society of Petroleum Engineers, Grieghallen, Bergen, Norway. Osterloh, W.T., Law, E.J., 1998. Polymer transport and rheological properties for polymer flooding in the north sea. In: SPE/DOE Improved Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma. Pancharoen, M., Thiele, M.R., Kovscek, A.R., 2010. Inaccessible pore volume of associative polymer floods. In: SPE Improved Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma, USA. Perkins, T.K., Johnston, O.C., 1963. A Review of Diffusion and Dispersion in Porous Media. Poellitzer, S., Florian, T., Clemens, T., 2009. Revitalising a medium viscous oil field by polymer injection. In: Pirawarth Field, Austria, EUROPEC/EAGE Conference and Exhibition. Society of Petroleum Engineers, Amsterdam, The Netherlands. Qing, Y., Fulin, Z., 2011. Study and application on reutilization technology of residual polymer after polymer flooding. Energy Sources, Part A Recovery, Util. Environ. Eff. 33 (12), 1155–1167. Rodriguez Manrique, F., Rousseau, D., Bekri, S., Djabourov, M., Bejarano, C.A., 2014. Polymer flooding for extra-heavy oil: new insights on the key polymer transport properties in porous media. In: SPE International Heavy Oil Conference and Exhibition. Society of Petroleum Engineers, Mangaf, Kuwait. Sutera, S.P., Skalak, R., 1993. The history of Poiseuille's Law. Annu. Rev. Fluid Mech. 25 (1), 1–20. Seright, R.S., 2016. How much polymer should Be injected during a polymer flood? SPE163672-PA 22 (01). Seright, R.S., et al., 2011. Rheology of a new sulfonic associative polymer in porous media. In: SPE International Symposium on Oilfield Chemistry. Society of Petroleum Engineers, The Woodlands, Texas, USA. Sharma, M., Taware, S.V., Datta-Gupta, A., 2011. Optimizing polymerflood via rate control. In: SPE Enhanced Oil Recovery Conference. Society of Petroleum Engineers, Kuala Lumpur, Malaysia. Sheng, J., 2011. Modern Chemical Enhance Oil Recovery : Theory and Practice. Gulf Professional, London; Oxford. Sheng, J.J., Leonhardt, B., Azri, N., 2015. Status of polymer-flooding technology. J. Can. Pet. Technol. 74 (02). Sorbie, K.S., 1991. Polymer-improved Oil Recovery. Blackie & Son, Glasgow. Stavland, A., Jonsbraten, H., Lohne, A., Moen, A., Giske, N.H., 2010. Polymer flooding flow properties in porous media versus rheological parameters. In: SPE EUROPEC/ EAGE Annual Conference and Exhibition. Society of Petroleum Engineers, Barcelona, Spain. Szabo, M.T., 1975. Some aspects of polymer retention in porous media using a C14 tagged polyacrylamide. In: Rembaum, A., Sélégny, E. (Eds.), Polyelectrolytes and Their Applications. Charged and Reactive Polymers. Springer Netherlands, pp. 287–337. Teeuw, D., Hesselink, F.T., 1980. Power-law flow and hydrodynamic behaviour of biopolymer solutions in porous media. In: SPE Oilfield and Geothermal Chemistry Symposium. Society of Petroleum Engineers, Stanford, California. Thiele, M., Batycky, R., Pöllitzer, S., Clemens, T., 2010. Polymer-Flood Modeling Using Streamlines. Trushenski, S.P., Dauben, D.L., Parrish, D.R., 1974. Micellar Flooding - Fluid Propagation, Interaction, and Mobility. Unsal, E., ten Berge, A.B.G.M., Wever, D.A.Z., 2018. Low salinity polymer flooding: lower polymer retention and improved injectivity. J. Pet. Sci. Eng. 163, 671–682. Verma, S.K., Adibhatla, B., Kaminsky, R.D., Wattenbarger, R.C., Davidson, J.E., 2009. Modeling polymer flood in an unstructured grid simulator. In: SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, The Woodlands, Texas. Wan, H., Seright, R.S., 2016. Is polymer retention different under anaerobic vs. Aerobic conditions? In: SPE Improved Oil Recovery Conference. Society of Petroleum Engineers, Tulsa, Oklahoma, USA. Wang, D., Cheng, J., Wu, J., Wang, G., 2002. Experiences Learned after Production of More than 300 Million Barrels of Oil by Polymer Flooding in Daqing Oil Field. Society of Petroleum Engineers. Wang, J., Liu, H.-Q., Xu, J., 2013. Mechanistic simulation studies on viscous-elastic polymer flooding in petroleum reservoirs. J. Dispersion Sci. Technol. 34 (3), 417–426. Wassmuth, F.R., Green, K., Hodgins, L., Turta, A.T., 2007. Polymer flood technology for heavy oil recovery. In: Canadian International Petroleum Conference. Petroleum Society of Canada, Calgary, Alberta. Zaitoun, A., Chauveteau, G., 1998. Effect of pore structure and residual oil on polymer bridging adsorption. In: SPE/DOE Improved Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma. Zaitoun, A., Kohler, N., 1987. The role of adsorption in polymer propagation through reservoir rocks. In: SPE International Symposium on Oilfield Chemistry. Society of Petroleum Engineers, San Antonio, Texas. Zhang, G., 2013. New Insights into Polymer Retention. New Mexico Institute of Mining and Technology. Zhang, G., Seright, R.S., 2013. Effect of concentration on HPAM retention in porous de Melo, M.A., da Silva, I.P.G., de Godoy, G.M.R., Sanmartim, A.N., 2002. Polymer injection projects in Brazil: dimensioning, field application and evaluation. In: SPE/ DOE Improved Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma. Delamaide, E., 2014. Polymer flooding of heavy oil - from screening to full-field extension. In: SPE Heavy and Extra Heavy Oil Conference. Latin America. Society of Petroleum Engineers, Medellín, Colombia. Delamaide, E., Soe Let, K.M., Bhoendie, K., Jong-A-Pin, S., Paidin, W.R., 2016. Results of a polymer flooding pilot in the Tambaredjo heavy oil field, Suriname. In: SPE Canada Heavy Oil Technical Conference. Society of Petroleum Engineers, Calgary, Alberta, Canada. Dembicki, J.H., 2017. Chapter 5 - reservoir geochemistry. In: Dembicki, J.H. (Ed.), Practical Petroleum Geochemistry for Exploration and Production. Elsevier, pp. 189–215. Divers, T., Al-Hashmi, A.R., Al-Maamari, R.S., Favero, C., 2018. Development of thermoresponsive polymers for CEOR in extreme conditions: applicability to Oman oil fields. In: SPE EOR Conference at Oil and Gas West Asia. Society of Petroleum Engineers, Muscat, Oman. Dominguez, J.G., Willhite, G.P., 1977. Retention and flow characteristics of polymer solutions in porous media. Soc. Pet. Eng. J. 17 (02), 111–121. Duda, J.L., Klaus, E.E., Fan, S.K., 1981. Influence of Polymer-Molecule/Wall Interactions on Mobility Control. Dupuis, G., et al., 2017. A new thermally stable synthetic polymer for harsh conditions of Middle East reservoirs. In: Part I. Thermal Stability and Injection in Carbonate Cores. Society of Petroleum Engineers. Farajzadeh, R., Bedrikovetsky, P., Lotfollahi, M., Lake, L.W., 2016. Simultaneous sorption and mechanical entrapment during polymer flow through porous media. Water Resour. Res. 52 (3), 2279–2298. Ferreira, V., Moreno, R., 2016. Modeling and simulation of laboratory-scale polymer flooding. 16, 24. Ferreira, V.H.S., Moreno, R.B.Z.L., 2017. Impact of flow rate variation in dynamic properties of a terpolymer in sandstone. J. Pet. Sci. Eng. 157, 737–746. Fletcher, A.J.P., et al., 1991. Measurements of polysaccharide polymer properties in porous media. In: SPE International Symposium on Oilfield Chemistry. Society of Petroleum Engineers, Anaheim, California. Fournier, R., Tiehi, J.-E., Zaitoun, A., 2018. Laboratory study of a new EOR-grade scleroglucan. In: SPE EOR Conference at Oil and Gas West Asia. Society of Petroleum Engineers, Muscat, Oman. Gaillard, N., et al., 2014. new water soluble anionic NVP acrylamide terpolymers for use in harsh EOR conditions. In: SPE Improved Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma, USA. Goudarzi, A., Delshad, M., Sepehrnoori, K., 2013. A critical assessment of several reservoir simulators for modeling chemical enhanced oil recovery processes. In: SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, The Woodlands, Texas, USA. Green, D.W., Willhite, G.P., 1998. Enhanced Oil Recovery, 6. Henry L. Doherty Memorial Fund of AIME, Society of Petroleum Engineers Richardson, TX, Richardson, Texas, USA. Hatzignatiou, D.G., Norris, U.L., Stavland, A., 2013. Core-scale simulation of polymer flow through porous media. J. Pet. Sci. Eng. 108, 137–150. Hughes, D.S., Teeuw, D., Cottrell, C.W., Tollas, J.M., 1990. Appraisal of the use of polymer injection to suppress aquifer influx and to improve volumetric sweep in a viscous oil reservoir. Soc. Pet. Eng. J. 5 (01). Huh, C., Bryant, S.L., Sharma, M.M., Choi, S.K., 2009. pH sensitive polymers for novel conformance control and polymerflood applications. In: SPE International Symposium on Oilfield Chemistry. Society of Petroleum Engineers, The Woodlands. Texas. Huh, C., Lange, E.A., Cannella, W.J., 1990. Polymer retention in porous media. In: SPE/ DOE Enhanced Oil Recovery Symposium. Society of Petroleum Engineers, Tulsa, Oklahoma. Idahosa, P.E.G., Oluyemi, G.F., Oyeneyin, M.B., Prabhu, R., 2016. Rate-dependent polymer adsorption in porous media. J. Pet. Sci. Eng. 143, 65–71. Kaminsky, R.D., Wattenbarger, R.C., Szafranski, R.C., Coutee, A., 2007. Guidelines for polymer flooding evaluation and development, international petroleum technology conference. In: International Petroleum Technology Conference, Dubai, U.A.E. Kolodziej, E.J., 1988. Transport mechanisms of xanthan biopolymer solutions in porous media. In: SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, Houston, Texas. Lake, L.W., 1989. Enhanced Oil Recovery. Prentice Hall, New Jersey. Lake, L.W., 2010. Enhanced Oil Recovery. Society of Petroleum Engineers. Li, K., Jing, X., He, S., Wei, B., 2016. Static adsorption and retention of viscoelastic surfactant in porous media: EOR implication. Energy Fuels 30 (11), 9089–9096. Li, K., Sun, W., Li, F., Qu, Y., Yang, Y., 2014. Novel method for characterizing singlephase polymer flooding. SPE-163672-PA (04), 19. Liu, Y., et al., 2018. An inversion method of relative permeability curves in polymer flooding considering physical properties of polymer. SPE-163672-PA 23 (05), 1929–1943. Lotsch, T., Muller, T., Pusch, G., 1985. The effect of inaccessible pore volume on polymer coreflood experiments. In: SPE Oilfield and Geothermal Chemistry Symposium. Society of Petroleum Engineers, Phoenix, Arizona. https://www.onepetro.org/ conference-paper/SPE-13590-MS. Lüftenegger, M., Clemens, T., 2017. Chromatography effects in alkali surfactant polymer flooding. In: SPE Europec Featured at 79th EAGE Conference and Exhibition. Society of Petroleum Engineers, Paris, France. Lund, T., et al., 1992. Polymer retention and inaccessible pore volume in North Sea reservoir material. J. Pet. Sci. Eng. 7 (1), 25–32. 13 Journal of Petroleum Science and Engineering 182 (2019) 106263 S. Akbari, et al. for enhanced court heavy oil recovery, lowering interfacial tension or reducing water mobility? Energy Fuels 24 (3), 1829–1836. Zhao, J., Fan, H., You, Q., Jia, Y., 2017. Distribution and presence of polymers in porous media. Energies 10 (12), 2118. media. SPE-163672-PA 3, 2265–2275. Zhang, G., Seright, R.S., 2015. Hydrodynamic retention and rheology of EOR polymers in porous media. In: SPE International Symposium on Oilfield Chemistry. Society of Petroleum Engineers, The Woodlands, Texas, USA. Zhang, H., Dong, M., Zhao, S., 2010. Which one is more important in chemical flooding 14
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