Numerical simulation of water alternating gas fooding (WAG) using CO2 for high-salt argillaceous dolomite reservoir considering the impact of stress sensitivity and threshold pressure gradient

• Autorzy: Wu, Dan , Brantson, Eric Thompson , Ju, Binshan
• Języki publikacji: EN

Abstrakty

EN

Recently, special attention has been drawn to the high-salt argillaceous dolomite reservoir in Jianghan basin, China due to its abundant oil resources with complex geological conditions. However, the current production methods used to develop this reservoir are not efcient with low throughput. Hence, the purpose of this paper is to explore the main possible reasons afecting the oil well productivity and determine suitable feld development method for the target oilfeld through experimental and numerical simulation approaches. The mercury injection capillary pressure (MICP) test results indicate that the average pore radius of samples is 0.0144 μm, and pore size distribution (PSD) results from MICP indicate that single peaks appeared in the PSD curves of the pore type samples. Permeability peaks of the samples range from 0.01 to 0.03 μm, and mesopores make most of the permeability contribution of the samples, which also reveals the low-permeability and porosity characteristics of the target oilfeld. The results of core stress sensitivity tests show that the largest permeability damage rate is 98.97% with an average permeability damage rate of 98.37% while the maximum porosity damage rate is less than 10% with an average damage rate of 5.57% during the process of depressurization. The results of Non-Darcy percolation experiment indicate that threshold pressure gradient testing by water is about 0.03 MPa/m, which is close to the actual situation of the target oilfeld. Numerical simulation method that considers the impact of threshold pressure gradient and stress sensitivity were established to study fooding patterns deployment for the research area. The simulation results show that performing water alternating gas fooding (WAG) by using CO2 is recommended for the development of the high-salt reservoir with inverse fve-spot fooding pattern made up of 400 m well spacing in X-direction and 150 m row spacing.

Słowa kluczowe

PL

symulacja numeryczna; zbiornik wysokosolny; wzór zalewania; wrażliwość na naprężenie; gradient ciśnienia progowego

EN

numerical simulation; high-salt reservoir; flooding pattern; stress sensitivity; threshold pressure gradient

• Czasopismo: Acta Geophysica
• Rocznik: 2021
• Tom: Vol. 69, no. 4
• Strony: 1349--1365
• Opis fizyczny: Bibliogr. 33 poz.

Twórcy

autor

Wu, Dan

• China University of Petroleum (Beijing), Beijing 102249, China,
• CNPC Economics & Technology Research Institute, Beijing 100724, China

autor

Brantson, Eric Thompson

• Department of Petroleum and Natural Gas Engineering, School of Petroleum Studies, University of Mines and Technology, Tarkwa, Ghana

autor

Ju, Binshan

• School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China

Bibliografia

• 1. Bozkurt G, Nummedal D, Eichen D (1997) Sequence stratigraphy of the pleistocene Amu Darya delta on the Turkmen sector of the Caspian Sea. Society of Exploration Geophysicists
• 2. Bybee K (2009) Santos basin presalt-reservoirs development. Soc Pet Eng. https://doi.org/10.2118/1009-0035-JPT
• 3. Close F, McCavitt RD, Smith B (2008) Deepwater Gulf of Mexico development callenges overview. Soc Pet Eng. https://doi.org/10.2118/113011-MS
• 4. Damira T, Karl L, Tom Z et al (2012) “Tengiz field surveillance: Planning strategy and implementation” SPE160957, international petroleum exhibition & conference, Dhabi, Nov. 11–14
• 5. Darmentaev S, Yessaliyeva A, Azhigaliyeva A et al (2012) “Tengiz sour gas injection project” SPE139851, SPE Caspian carbonates technology conference, Atyrau, Nov. 8–10
• 6. Espitalie J (1979) Role of mineral matrix in kerogen pyrolysis influence on petroleum generation and migration. AAPG Bull 64(1):57–62
• 7. Fatt I, Davis DH (1952) Reduction in permeability with overburden pressure. Pet Trans 4(12):34–41
• 8. de Ferreira HM, de Dantas JC, Resende FL, de Oliveira RL (2007) One-trip completion in Petrobras Campos basin. Soc Pet Eng. https://doi.org/10.2118/108469-MS
• 9. Guo SL (2010) Injectivity profile modification before polymer flooding at Yanshang heavy oil reservoir in Kenkiyak. Kazakhsta Oilfield Chem 27(1):62–65
• 10. Han HB, Cheng LS, Zhang ML et al (2004) Physical simulation and numerical simulation of ultra-low permeability reservoir in consideration of starting pressure gradient. J Univ Pet China 28(4):49–53
• 11. Hao SS, Jia ZY (1989) The formation and distribution of carbonate reservoir. Petroleum Industry Press, Beijing, pp 189–197
• 12. Horsfield B (1979) The influence of mineral on the pyrolysis of kerogen. Geochim Cosmocam Acta 44:1119–1131
• 13. Huang Y, Lin D, Bai B, Ricardez C (2009a) Pre-salt depth imaging of Santos basin. Society of Exploration Geophysicists, Brazil
• 14. Huang Y, Lin D, Bai B et al (2009b) Pre-salt depth imaging of Santos basin. Society of Exploration Geophysicists, Brazil
• 15. Jameson M, Wells S, Greenhalgh J, Borsato R (2011) Prospectivity and seismic expressions of pre-and post-salt plays along the conjugate margins of Brazil. Society of Exploration Geophysicists, Angola and Gabon
• 16. Jiang Y, Liu ZQ, Wang DH et al (2007) Analysis on major control factors of hydrocarbon accumulation on salt-bed in block ulaer of Pre-Caspian basin. J Oil Gas Technol 29(3):350–353
• 17. Jiao CY, He SL, Xie Q et al (2011) An experimental study on stress-dependent sensitivity of ultra-low permeability sandstone reservoirs. Acta Pet Sin 32(3):489–494
• 18. Jin C, Ma G, Wang C, Ou Y et al (2012) The application of polymer-sulfonated saturated salt based mud system on the right bank of the amu darya in Turkmenistan. Soc Pet Eng. https://doi.org/10.2118/155685-MS
• 19. Li CT, Qian GB, Wu SH et al (2008) Superheated steam quality and its application to heavy oil reservoir development by steam stimulation—an example from upsalt heavy oil reservoir in Kenjiyake field. Xinjiang Pet Geol 29(4):495–497
• 20. Liu RJ, Liu HQ, Zhang HL et al (2011) Study of stress sensitivity and its influence on oil development in low permeability reservoir. Chin J Rock Mech Eng 30(1):2697–2702
• 21. Lu XG, Long F, Wu LJ et al (2006) Effect evaluation and parameter optimization of polymer flooding in Kenneyak oil field. J Daqing Pet Inst 30(6):28–30
• 22. Raghavan R, Chin LY (2002) Productivity changes in reservoirs with stress-dependent permeability. SPE88870. Society of Petroleum Engineers
• 23. Ruan M, Wang LG (2002) Low-permeability oilfield development and pressure-sensitivity effect. Acta Pet Sin 23(3):73–76
• 24. Shan ZQ, Zhu GS, Mi ZR (2011) Post-salt structural evolution and patterns of hydrocarbon in AshkS block of Pre-Caspian basin. Inner Mongolia Petrochem Technol 1(1):148–151
• 25. Sobreira G, Lima C, Kumar A, Rossi DJ, Sauve RE (2010) State-of-art digital oilfield implementation in Petrobras Campos Basin. Soc Pet Eng. https://doi.org/10.2118/128766-MS
• 26. Song CT (2012) Numerical reservoir simulation considering threshold pressure gradient and stress sensitive phenomenon. Sci Technol Eng 25(12):6319–6327
• 27. Tamannai MS, Hansen T, Borsato R, Greenhalgh J, Moussavou MR, Essongue LO (2013) Deepwater hydrocarbon prospectivity analysis of offshore North and South Gabon Basin. Society of Exploration Geophysicists
• 28. Wu D, Ju BS, Wu SQ et al (2017) Investigation of productivity decline in inter-salt argillaceous dolomite reservoir due to formation damage and threshold pressure gradient: laboratory, mathematical modeling and application. Energy Explor Exploit 35(1):33–53
• 29. Xiong W, Lei Q, Liu XG et al (2009) Pseudo threshold pressure gradient to flow for low-permeability reservoirs. Pet Explor Dev 36(2):232–235
• 30. Xu AZ, Wu XH et al (2009) Selection of superheated steam flooding in Kenkiyak heavy-oil reservoirs. Sci Technol Rev 27(6):29–33
• 31. Yang ZM, Yu RZ, Su ZX et al (2010) Numerical simulation of the nonlinear flow in ultra-low permeability reservoirs. Pet Explor Dev 37(1):94–98
• 32. Yu HY (2008) Patterns of hydrocarbon accumulation in the upper-salt sediments in the south of Kumisbek oil field of Pre-Caspian basin. J Oil Gas Technol 30(5):37–41
• 33. Zhang J, Yu GM, Yu S (2016) Optimization of development mode in Kenkiyak IV reservoirs. Contemp Chem Ind 45(8):1794–1797

Identyfikatory

DOI

10.1007/s11600-021-00601-w