A Robust Geochemical Simulator To Model Improved-Oil-Recovery Methods
- Haishan Luo (University of Texas at Austin) | Emad W. Al-Shalabi (University of Texas at Austin) | Mojdeh Delshad (University of Texas at Austin) | Krishna Panthi (University of Texas at Austin) | Kamy Sepehrnoori (University of Texas at Austin)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- February 2016
- Document Type
- Journal Paper
- 55 - 73
- 2016.Society of Petroleum Engineers
- EDTA injection, geochemical simulator, geochemical reactions, ASP flood, low salinity water flood
- 1 in the last 30 days
- 543 since 2007
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The interest in modeling geochemical reactions has increased significantly for different improved-oil-recovery processes such as alkali/surfactant/polymer (ASP) flood, low-salinity waterflood, and ethylenediaminetetraacetic acid (EDTA) injection as a sacrificial agent in hard brine. Numerical simulation of multiphase flow coupled with geochemical reactions is challenging because of complex and coupled aqueous, aqueous/solid, and aqueous/oleic reactions. These reactions have significant impact upon oil recovery, and hence a robust geochemical simulator is important.
UTCHEM (2000) is a chemical-flooding reservoir simulator with geochemical-modeling capability. Nevertheless, one major limitation in the geochemical-reactive engine of UTCHEM is assuming the activities of reactive species is equal to unity. In fact, the activity coefficients are strongly nonlinear functions of the ionic strength of solution. One approach to tackle this deficiency was to couple UTCHEM (flow and transport) with IPhreeqc (a geochemical reactive engine) (Kazemi Nia Korrani et al. 2013). However, the simulator proved to be computationally expensive. Therefore, it is desirable to improve the geochemical-reactive engine within UTCHEM.
This paper presents the improvement of the geochemical-reactive engine in UTCHEM including implementing different activity-coefficient models for different reactive species, cation-exchange reactions, and numerical convergence. Certain unknown concentrations are eliminated from the elemental mass-balance equations and the reaction equations to reduce the computational burden. The Jacobian matrix and right-hand side of the linear-system equation in the Newton-Raphson method are updated accordingly in the Newton-Raphson method for performing the batch-reaction calculation.
A low-salinity-waterflood case is presented to validate the updated UTCHEM against PHREEQC (Parkhurst and Appelo 1999) and UTCHEM-IPhreeqc. The simulation studies indicated that the updated geochemical simulator succeeds in tackling the inaccuracy concerned in the original UTCHEM. Also, the updated version is more efficient compared with PHREEQC and UTCHEM-IPhreeqc with the same degree of accuracy. The updated geochemical simulator is then applied to model an ASP coreflood in which EDTA is used as a sacrificial agent to chelate calcium and magnesium ions. The experimental data of pH, oil recovery, and pressure drop were successfully history matched with predictions of the effluent concentrations of calcium and magnesium ions. A synthetic 3D ASP pilot case is successfully simulated considering effects of acid equilibrium reaction constant on oil recovery.
|File Size||3 MB||Number of Pages||19|
Abdelgawad, K. Z. and Mahmoud, M. A. 2014. High-Performance EOR System in Carbonate Reservoirs. Presented at the SPE Saudi Arabia Section Technical Symposium and Exhibition, Al-Khobar, Saudi Arabia, 21–24 April. SPE-172182-MS. http://dx.doi.org/10.2118/172182-MS.
Al-Shalabi, E. W., Sepehrnoori, K., and Delshad, M. 2014a. Mechanisms Behind Low-Salinity Water Injection in Carbonate Reservoirs. Fuel 121: 11–19. http://dx.doi.org/10.1016/j.fuel.2013.12.045.
Al-Shalabi, E. W., Sepehrnoori, K., and Pope, G. 2014b. Geochemical Interpretation of Low-Salinity Water Injection in Carbonate Oil Reservoirs. Presented at the SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 12–16 April. SPE-169101-MS. http://dx.doi.org/10.2118/169101-MS.
Al-Shalabi, E. W. 2014c. Modeling the Effect of Injecting Low-Salinity Water on Oil Recovery From Carbonate Reservoirs. PhD dissertation, The University of Texas at Austin, Texas, USA.
Atkins, P. and De Paula, J. 2009. Physical Chemistry, ninth edition. Oxford, UK: Oxford University Press.
Austad, T., RezaeiDoust, A., and Puntervold, T. 2010. Chemical Mechanism of Low-Salinity Water Flooding in Sandstone Reservoirs. Presented at the SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 24–28 April. SPE-129767-MS. http://dx.doi.org/10.2118/129767-MS.
Bethke, C. M. 2007. Geochemical and Biogeochemical Reaction Modeling. Cambridge, UK: Cambridge University Press.
Bethke, C. and Yeakel, S. 2009. Geochemist’s Workbench: Release 8.0 Reference Manual. Champaign, IL, USA.
Bhuyan, D., Lake, L. W., and Pope, G. A. 1990. Mathematical Modeling of High-pH Chemical Flooding. SPE Res Eng. 5 (2): 213–220. SPE-17398-PA. http://dx.doi.org/10.2118/17398-PA.
Computing Modeling Group Ltd. 2012a. User’s Guide STARS: Advanced Process and Thermal Reservoir Simulator. Calgary, A-B, Canada.
Computing Modeling Group Ltd. 2012b. User’s Guide GEM: Advanced Compositional and Unconventional Reservoir Simulator. Calgary, AB, Canada.
Delshad, M., Pope, G. A., and Sepehrnoori, K. 1996. A Compositional Simulator for Modeling Surfactant Enhanced Aquifer Remediation, 1 Formulation. J. Contaminant Hydrology 23: 303–327. http://dx.doi.org/10.1016/0169-7722(95)00106-9.
Farajzadeh, R., Matsuura, T., van Batenburg, D. et al. 2012. Detailed Modeling of the Alkali/Surfactant/Polymer (ASP) Process by Coupling a Multipurpose Reservoir Simulator to the Chemistry Package PHREEQC. SPE Res Eval & Eng 15 (4): 423–435. SPE-143671-PA. http://dx.doi.org/10.2118/143671-MS.
Flaaten, A. K., Nguyen, Q. P., Zhang, J. et al. 2010. Alkaline/Surfactant/Polymer Chemical Flooding Without the Need for Soft Water. SPE J. 15 (1): 184–196. SPE-116754-PA. http://dx.doi.org/10.2118/116754-PA.
Garrels, R. M. and Christ, C. L. 1965. Solutions, Minerals, and Equilibria. New York: Harper & Row.
Green, D. W. and Willhite, G. P. 1998. Enhanced Oil Recovery. Richardson, Texas: SPE.
Grenthe, I., Plyasunov, A. V., and Spahiu, K. 1997. Estimations of Medium Effects on Thermodynamic Data. In Modelling in Aquatic Chemistry, Chapter 9, 325–426. OECD Publications.
Hirasaki, G. J. 1982. Interpretation of the Change in Optimal Salinity With Overall Surfactant Concentration. SPE J. 22 (6): 971–982. SPE-10063-PA. http://dx.doi.org/10.2118/10063-PA.
Karpan, V., Farajzadeh, R., Zarubinska, M. et al. 2011. Selecting the “Right” ASP Model by History Matching Coreflood Experiments. Presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, Malaysia, 19–21 July. SPE-144088-MS. http://dx.doi.org/10.2118/144088-MS.
Kazemi Nia Korrani, A., Sepehrnoori, K., and Delshad, M. 2013. A Novel Mechanistic Approach for Modeling Low-Salinity Water Injection. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, 30 September–2 October. SPE-166523-MS. http://dx.doi.org/10.2118/166523-MS.
Kazemi Nia Korrani, A., Sepehrnoori, K., and Delshad, M. 2014. A Mechanistic Integrated Geochemical and Chemical Flooding Tool for Alkaline/Surfactant/Polymer Floods. Presented at the SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 12–16 April. SPE-169094-MS. http://dx.doi.org/10.2118/169094-MS.
Lager, A., Webb, K. J., Black, C. J. J. et al. 2008. Low-Salinity Oil Recovery: An Experimental Investigation. Petrophysics 49 (1): 28–35. 2008-V49N1A2 SPWLA.
Lake, L. W. 1989. Enhanced Oil Recovery. Englewood Cliffs, New Jersey: Prentice Hall.
Malmberg, C. G. and Maryott, A. A. 1956. Dielectric Constant of Water From 0°C to 1000°C. J. Research of the National Bureau of Standards 56: 1–8.
Manov, G. G., Bates, R. G., Hamer, W. J. et al. 1943. Values of the Constants in the Debye-Hückel Equation for Activity Coefficients. J. American Chemical Society 65 (9): 1765–1767. http://dx.doi.org/10.1021/ja01249a028.
Martin, F. D., Oxley, J. C., and Lim, H. 1985. Enhanced Recovery of A “J” Sand Crude Oil With a Combination of Surfactant and Alkaline Chemicals. Presented at the SPE Annual Technical Conference and Exhibition, Las Vegas, Nevada, USA, 22–26 September. SPE-14295-MS. http://dx.doi.org/10.2118/14295-MS.
Mohammadi, H., Delshad, M., and Pope, G. A. 2008. Mechanistic Modeling of Alkaline/Surfactant/Polymer Floods. SPE Res Eval & Eng 12 (4): 518–527. SPE-110212-PA. http://dx.doi.org/10.2118/110212-PA.
Nelson, R. C. and Pope, G. A. 1978. Phase Relationships in Chemical Flooding. SPE J. 18 (5): 325–338. SPE-6773-PA. http://dx.doi.org/10.2118/6773-PA.
Nelson, R. C., Lawson, J. B., Thigpen, D. R. et al. 1984. Cosurfactant-Enhanced Alkaline Flooding. Presented at the SPE Enhanced Oil Recovery Symposium, Tulsa, Oklahoma, USA, 15–18 April. SPE-12672-PA. http://dx.doi.org/10.2118/12672-PA.
Parkhurst, D. L. and Appelo, C. A. J. 1999. User’s Guide to PHREEQC (Version 2): A Computer Program for Speciation, Batch-Reaction, One-Dimensional Transport, and Inverse Geochemical Calculation, Denver, Colorado: USGS.
Pitzer, K. S. 1991. Ion Interaction Approach: Theory and Data Correlation. Activity Coefficients in Electrolyte Solutions, Vol. 2. Boca Raton, Florida, USA: CRC Press.
Pope G. A., Sepehrnoori K., and Delshad M. 2001. Development of An Improved Simulator for Chemical and Microbial IOR Methods, Final Report, Work Performed Under Contract No. DE–AC26-98BC15109. Prepared for US Department of Energy.
Sandler, S. I. 2006. Chemical, Biochemical, and Engineering Thermodynamics, Vol. 4. Hoboken, New Jersey, USA: John Wiley & Sons.
Schecher, W. D. and McAvoy, D. C. 1992. MINEQL+: A Software Environment for Chemical Equilibrium Modeling. Computers, Environment and Urban Systems 16 (1): 65–76. http://dx.doi.org/10.1016/0198-9715(92)90053-T.
Sharma, H., Dufour, S., Weerasooriya, U. et al. 2014. ASP Process for Anhydrite-Containing Oil Reservoirs. Presented at the SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 12–16 April. SPE-169065-MS. http://dx.doi.org/10.2118/169065-MS.
Sheng, J. J. 2013. A Comprehensive Review of Alkaline-Surfactant-Polymer (ASP) Flooding. Presented at the SPE Western Regional and AAPG Pacific Section Meeting 2013 Joint Technical Conference, Monterey, California, USA, 19–25 April. SPE-165358-MS. http://dx.doi.org/10.2118/165358-MS.
UTCHEM. 2000. 9.0 Technical Documentation. Vol. II. The University of Texas at Austin.
Vledder, P., Gonzalez, I. E., Carrera Fonseca, J. C. et al. 2010. Low-Salinity Water Flooding: Proof of Wettability Alteration on a Field Wide Scale. Presented at the SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 24–28 April. SPE-129564-MS. http://dx.doi.org/10.2118/129564-MS.
Walsh, M. P. 1983. Geomechanical Flow Modeling. PhD dissertation, The University of Texas at Austin.
Wei, L. 2012. Sequential Coupling of Geochemical Reactions With Reservoir Simulations for Waterflood and EOR Studies. SPE J. 17 (2): 469–484. SPE-138037-PA. http://dx.doi.org/10.2118/138037-PA.
Yousef, A. A., Al-Saleh, S., Al-Kaabi, A. et al. 2011. Laboratory Investigation of the Impact of Injection-Water Salinity and Ionic Content on Oil Recovery From Carbonate Reservoirs. SPE Res Eval & Eng 14 (5): 578–593. SPE-137634-PA. http://dx.doi.org/10.2118/137634-PA.
Yousef, A. A., Al-Saleh, S., and Al-Jawafi, M. 2012. Improved/Enhanced Oil Recovery From Carbonate Reservoirs by Tuning Injection Water Salinity and Ionic Content. Presented at the SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 14–18 April. SPE-154076-MS. http://dx.doi.org/10.2118/154076-MS.
Zhu, C. and Anderson, G. 2002. Environmental Applications of Geochemical Modeling. Cambridge, UK: Cambridge University Press.