Simulation optimization of water-alternating-gas process under operational constraints: A case study in the Persian Gulf

Document Type : Article


Department of Petroleum Engineering, Faculty of Chemical Engineering, Tarbiat Modares University, Tehran, Iran.


Optimizing the efficiency of WAG flooding projects can guarantee the success of these projects. Many operational constraints can indirectly affect the flooding efficiency. Their effects is not normally considered during routine optimizations. The main aim of this study is to find the influence of these constraints (e.g., maximum water-cut, maximum GOR, and minimum BHP during WAG process). Implementing a reservoir simulator coupled with a simulating-annealing (SA) enables us to discover the effects of these constraints during simulation optimizations. The developed optimizer is applied into a case study from an Iranian formation located in the Persian Gulf. The recovery factor of WAG flooding is compared with that of the conventional waterflooding and gas injection. Moreover, the optimization of individual and simultaneous WAG parameters are analyzed. Results indicate that a) operational constraints not also can alter the production mechanism but also they directly affect the ultimate recovery factor; b) the recovery factor of simultaneous optimization of all WAG parameters is higher than that of individual parameter optimization; c) irrespective to the manner of parameter optimization, WAG ratio (or the volume fraction of injected water to gas) remains almost constant during all optimizations, showing the influence of this parameter during WAG flooding scenarios.


Main Subjects

1. Tamsilian, Y. and Ramazani, S. Enhanced oil recovery performance and time-dependent role of polymeric core-shell nanoemulsion", Sci. Iran, 21(3), p. 1174 (2014). 2. Ashra_zadeh, M., Ramazani S.A., A., and Sadeghnejad, S. Enhanced polymer ooding using a novel nano-scale smart polymer: Experimental investigation", Can. J. Chem. Eng., 95(11), pp. 2168-2175 (2017). 3. Golshokooh, S., Ramazani S.A., A., and Hekmatzadeh, M. Investigating the e_ect of hybrid silica S. Sadeghnejad et al./Scientia Iranica, Transactions C: Chemistry and ... 26 (2019) 3431{3446 3443 nanoparticles-copolymer on increasing oil recovery in a three dimensional porous media", Sci. Iran, 24(6), pp. 3466-3475 (2017). 4. Ashra_zadeh, M., Ahmad, R.S., and Sadeghnejad, S. Improvement of polymer ooding using in-situ releasing of smart nano-scale coated polymer particles in porous media", Energ. Explor. Exploit, 30(6), pp. 915-939 (2012). 5. Farasat, A., Sefti, M.V., Sadeghnejad, S., et al. Mechanical entrapment analysis of enhanced preformed particle gels (PPGs) in mature reservoirs", J. Petrol. Sci. Eng., 157, pp. 441-450 (2017). 6. Kessel, D. Chemical ooding-status report", J. Petrol. Sci. Eng., 2(2-3), pp. 81-101 (1989). 7. Moradi, B., Pourafshary, P., Jalali, F., et al. Experimental study of water-based nanouid alternating gas injection as a novel enhanced oil-recovery method in oil-wet carbonate reservoirs", J. Natural Gas Sci. Eng., 27, pp. 64-73 (2015). 8. Kharrat, R., Mahdavi, S., and Ghorbani, D. A comprehensive EOR study of a highly fractured matured _eld-case study", SPE Europec/EAGE Annual Conference (2012). 9. Christensen, J.R., Stenby, E.H., and Skauge, A. Review of WAG _eld experience", International Petroleum Conference and Exhibition of Mexico, (1998). 10. Gao, Y., Zhao, M., Wang, J., et al. Performance and gas breakthrough during CO2 immiscible ooding in ultra-low permeability reservoirs", Petrol. Explor. Dev., 41(1), pp. 88-95 (2014). 11. Kamali, F., Hussain, F., and Cinar, Y. An experimental and numerical analysis of water-alternatinggas and simultaneous-water-and-gas displacements for carbon dioxide enhanced oil recovery and storage", SPE Journal, 22(02), pp. 521-538 (2016). 12. Kamali, F. and Cinar, Y. Co-optimizing enhanced oil recovery and CO2 storage by simultaneous water and CO2 injection", Energ. Explor. Exploit, 32(2), pp. 281- 300 (2014). 13. Feng, W., Deping, Z., Guojun, Y., et al. CO ooding WAG safety control technology", SPE Asia Paci_c Oil and Gas Conference and Exhibition (2013). 14. Brown, J., Al-Kobaisi, M., and Kazemi, H. Compositional phase trapping in CO2 WAG simulation", Paper SPE 165983 presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, Abu Dhabi, UAE, September (2013). 15. Yan, Y., Li, C., Dong, Z., et al. Enhanced oil recovery mechanism of CO2 water-alternating-gas injection in silica nanochannel", Fuel, 190, pp. 253-259 (2017). 16. Liu, P. and Zhang, X. "Enhanced oil recovery by CO2CH4 ooding in low permeability and rhythmic hydrocarbon reservoir", International Journal of Hydrogen Energy, 40(12849), p. e12853 (2015). 17. Wen, T., Thiele, M.R., Ciaurri, D.E., et al. Water- ood management using two-stage optimization with streamline simulation", Comp. Geosci, 18(3-4), pp. 483-504 (2014). 18. Eshraghi, S.E., Rasaei, M.R., and Zendehboudi, S. Optimization of miscible CO2 EOR and storage using heuristic methods combined with capacitance/ resistance and Gentil fractional ow models", J. Natural Gas Sci. Eng., 32, pp. 304-318 (2016). 19. Javaheri, P. and Sadeghnejad, S., E_ect of injection pattern arrangements on formation connectivity during water ooding", SPE Europec Featured at 79th EAGE Conference and Exhibition (2017). 20. Farasat, A., Sefti, M.V., Sadeghnejad, S., et al. E_ects of reservoir temperature and water salinity on the swelling ratio performance of enhanced preformed particle gels", Kor. J. Chem. Eng., 34(5), pp. 1509- 1516 (2017). 21. Hallam, R.J., Ma, T.D., and Reinbold, E.W. Performance evaluation and optimization of the Kuparuk hydrocarbon miscible water-alternating-gas ood", Geological Society, London, Special Publications, 84(1), pp. 153-164 (1995). 22. Bedrikovetsky, P., Andrade, G.M., Ferreira, L.E.A. et al. Optimization of tertiary water-alternate-CO2 injection", in SPE Latin America/Caribbean Petroleum Engineering Conference, Society of Petroleum Engineers: Port-of-Spain, Trinidad (1996). 23. Guo, X., Du, Z., Sun, L., et al., Optimization of tertiary water-alternate-CO2 ood in Jilin oil _eld of China: Laboratory and simulation studies", SPE/DOE Symposium on Improved Oil Recovery (2006). 24. Ghomian, Y., Pope, G.A., and Sepehrnoori, K. Hysteresis and _eld-scale optimization of WAG injection for coupled CO2-EOR and sequestration", SPE Symposium on Improved Oil Recovery (2008). 25. Alizadeh, M., Moshirfarahi, M.M., and Rasaie, M.R. Mathematical and neural network prediction model of three-phase immiscible recovery process in porous media", J. Natural Gas Sci. Eng., 20, pp. 292-311 (2014). 26. Liu, P., Zhang, X., Hao, M., et al., Parameter optimization of gas alternative water for CO2 ooding in low permeability hydrocarbon reservoirs", Journal of Renewable and Sustainable Energy, 8(3), p. 035901 (2016). 27. Chen, Y., He, L., Guan, Y., et al., Life cycle assessment of greenhouse gas emissions and water-energy optimization for shale gas supply chain planning based on multi-level approach: Case study in Barnett, Marcellus, Fayetteville, and Haynesville shales", Energy Convers. Manag, 134, pp. 382-398 (2017). 28. Chen, Y., He, L., Li, J., et al., Multi-criteria design of shale-gas-water supply chains and production systems towards optimal life cycle economics and greenhouse gas emissions under uncertainty", Comput, Chem. Eng., 109, pp. 216-235 (2018). 3444 S. Sadeghnejad et al./Scientia Iranica, Transactions C: Chemistry and ... 26 (2019) 3431{3446 29. Garcia Quijada, M., Optimization of a CO2 Flood Design Wesson Field-West Texas, Texas A&M University (2006). 30. Yang, D., Zhang, Q., and Gu, Y. Integrated optimization and control of the production-injection operation systems for hydrocarbon reservoirs", J. Petrol. Sci. Eng., 37(1), pp. 69-81 (2003). 31. Gharbi, R. Application of an expert system to optimize reservoir performance", Journal of Petroleum Science and Engineering, 49(3), pp. 261-273 (2005). 32. Esmaiel, T.E. and Heeremans, J.C. Optimization of the WAG process under uncertainty in a smart wells environment: Utility theory approach", Intelligent Energy Conference and Exhibition (2006). 33. Ma, J., Design of an E_ective Water-alternatinggas (WAG) Injection Process Using Arti_cial Expert Systems, The Pennsylvania State University (2010). 34. Odi, U. and Gupta, A. Optimization and design of carbon dioxide ooding", Abu Dhabi International Petroleum Exhibition and Conference (2010). 35. Rahmawati, S.D., Whitson, C.H., and Foss, B. A mixed-integer non-linear problem formulation for miscible WAG injection", Journal of Petroleum Science and Engineering, 109, pp. 164-176 (2013). 36. Mohagheghian, E., An Application of Evolutionary Algorithms for WAG Optimisation in the Norne Field, Memorial University of Newfoundland (2016). 37. Haupt, R.L. and Haupt, S.E., Practical Genetic Algorithms, John Wiley & Sons (2004). 38. Dr_eo, J., Petrowski, A., Siarry, P. et al., Metaheuristics for Hard Optimization: Methods and Case Studies, Springer Science & Business Media (2006). 39. Soltani, A. and Sadeghnejad, S. Scaling and critical behavior of lattice and continuum porous media with di_erent connectivity con_gurations", Physica A: Statistical Mechanics and Its Applications, 508, pp. 376- 389 (2018). 40. Sadeghnejad, S. and Masihi, M. Analysis of a more realistic well representation during secondary recovery in 3-D continuum models", Comp. Geosci, 21(5-6), pp. 1035-1048 (2017). 41. Sadeghnejad, S., Masihi, M., King, P., et al. Study the e_ect of connectivity between two wells on secondary recovery e_ciency using percolation approach", ECMOR XV-15th European Conference on the Mathematics of Oil Recovery (2016). 42. Sadeghnejad, S. and Masihi, M. Point to point continuum percolation in two dimensions", J. Stat. Mech. 2016 (10), p. 103210 (2016). 43. Sadeghnejad, S., Masihi, M., Pishvaie, M., et al. Rock type connectivity estimation using percolation theory", Math. Geosci, 45(3), pp. 321-340 (2013). 44. Sadeghnejad, S., Masihi, M., and King, P. Dependency of percolation critical exponents on the exponent of power law size distribution", Phys. A., 392(24), pp. 6189-6197 (2013). 45. Parashar, M. and Hariri, S., Autonomic Computing: Concepts, Infrastructure, and Applications, CRC press (2006). 46. Hemmati-Sarapardeh, A., Mohagheghian, E., Fathinasab, M., et al. Determination of minimum miscibility pressure in N2-crude oil system: A robust compositional model", Fuel, 182, pp. 402-410 (2016). 47. Kwak, T.-S., Jung, J.-H., Han, D.-K., et al. Development of well placement optimization model using arti_cial neural network and simulated annealing", J. Korean Inst. Gas., 19(1), pp. 28-37 (2015). 48. Khoshneshin, R. and Sadeghnejad, S. Integrated well placement and completion optimization using heuristic algorithms: A case study of an Iranian carbonate formation", J. Chem. Petrol. Eng., 52(1), pp. 35-47 (2018). 49. Montazeri, M. and Sadeghnejad, S. An investigation of optimum miscible gas ooding scenario: A case study of an Iranian carbonates formation", Iran. J. Oil Gas Sci.Tech., 6(3), pp. 41-54 (2017). 50. Kirkpatrick, S., Gelett, C., and Vecchi, M. Opimization by simulated annealing", Sci., 220, p. 671 (1983). 51. _Cern_y, V. Thermodynamical approach to the traveling salesman problem: An e_cient simulation algorithm", J. Opt., Theo. App., 45(1), pp. 41-51 (1985). 52. Spall, J.C., Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, 65, John Wiley & Sons (2005). 53. Spiteri, E.J. and Juanes, R. Impact of relative permeability hysteresis on the numerical simulation of WAG injection", J. Petrol. Sci. Eng., 50(2), pp. 115-139 (2006). 54. Aziz, K. and Settari, A., Petroleum Reservoir Simulation, 2nd Edn., Blitzorint Ltd., Canada, p. 476 (2002). 55. Terry, R.E. and Rogers, J.B., Applied Petroleum Reservoir Engineering, Pearson Education (2013). 56. Wantawin, M., Yu, W., and Sepehrnoori, K. An iterative work ow for history matching by use of design of experiment, response-surface methodology, and Markov chain Monte Carlo algorithm applied to tight oil reservoirs", SPE, 20(03), pp. 613-626 (2017).