A novel numerical simulation of CO2 immiscible flooding coupled with viscosity and starting pressure gradient modeling in ultra-low permeability reservoir

Jie CHI , Binshan JU , Jiabei WANG , Xing ZHANG , Wenbin CHEN , Mengfei ZHANG

Front. Earth Sci. ›› 2023, Vol. 17 ›› Issue (3) : 884 -898.

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Front. Earth Sci. ›› 2023, Vol. 17 ›› Issue (3) : 884 -898. DOI: 10.1007/s11707-023-0085-y
RESEARCH ARTICLE
RESEARCH ARTICLE

A novel numerical simulation of CO2 immiscible flooding coupled with viscosity and starting pressure gradient modeling in ultra-low permeability reservoir

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Abstract

CO2 immiscible flooding is an environmentally-friendly and effective method to enhance oil recovery in ultra-low permeability reservoirs. A mathematical model of CO2 immiscible flooding was developed, considering the variation in crude oil viscosity and starting pressure gradient in ultra-low permeability reservoirs based on the non-Darcy percolation theory. The mathematical model and numerical simulator were developed in the C++ language to simulate the effects of fluid viscosity, starting pressure gradient, and other physical parameters on the distribution of the oil pressure field, oil saturation field, gas saturation field, oil viscosity field, and oil production. The results showed that the formation pressure and pressure propagation velocity in CO2 immiscible flooding were lower than the findings without considering the starting pressure gradient. The formation oil content saturation and the crude oil formation viscosity were higher after the consideration of the starting pressure gradient. The viscosity of crude oil considering the initiation pressure gradient during the formation was higher than that without this gradient, but the yield was lower than that condition. Our novel mathematical models helped the characterization of seepage resistance, revealed the influence of fluid property changes on seepage, improved the mathematical model of oil seepage in immiscible flooding processes, and guided the improvement of crude oil recovery in immiscible flooding processes.

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Keywords

viscosity / starting pressure gradient / flow simulation / CO2 immiscible flooding / ultra-low permeability reservoir

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Jie CHI, Binshan JU, Jiabei WANG, Xing ZHANG, Wenbin CHEN, Mengfei ZHANG. A novel numerical simulation of CO2 immiscible flooding coupled with viscosity and starting pressure gradient modeling in ultra-low permeability reservoir. Front. Earth Sci., 2023, 17(3): 884-898 DOI:10.1007/s11707-023-0085-y

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References

[1]

AllenR, SunS (2012). Carbon Dioxide Sequestration: Modeling the Diffusive and Convective Transport under a CO2 Cap. In: SPE Saudi Arabia Section Technical Symposium and Exhibition, AlKhobar, Saudi Arabia, 8–11 April. SPE-160881-MS..

[2]

An W Q, Yue X, Feng X, Fu J Y, Fang X, Zou J, Fang W (2017). Non-Klinkenberg slippage phenomenon at high pressure for tight core floods using a novel high pressure gas permeability measurement system.J Petrol Sci Eng, 156: 62–66

[3]

Battiatoa, I., Tartakovskya, D. M., Tartakovsky, A. M.(2011). Hybrid models of reactive transport in porous and fractured media. Adv Water Resour. 34 (9): 1140–1150.

[4]

Lv G Y, Wang J, Sun Z G (2002). An experimental study on starting pressure gradient of fluids flow in low permeability sandstone porous media.Pet Explor Dev, 29(2): 86–89

[5]

Chi J B Lyu G, Zhang X, Wang J (2017). A computational method of critical well spacing of CO2 miscible and immiscible concurrent flooding.Pet Explor Dev, 44(5): 815–823

[6]

ChungF T H, JonesR A, HaiT N (1988) Measurements and correlations of the physical properties of CO2 heavy crude oil mixtures. SPE 15080

[7]

Civan F (2010). Effective correlation of apparent gas permeability in tight porous media.Transp Porous Media, 82(2): 375–384

[8]

CuiC Z, YAND W, YAOT Y, Wang J, ZHANGC B, WUZ W (2022). Migration law of CO2 flooding front and prediction method of gas channeling: a case study of G89–1 block in Shengli Oilfield. Oil Gas Reservoir Evaluation Develop, 12(05): 741–747+763

[9]

Davarpanah A (2020). Parametric study of polymer-nanoparticles-assisted injectivity performance for axisymmetric two-phase flow in EOR processes.Nanomaterials (Basel), 10(9): 1818

[10]

Firoozabadi A, Myint P C (2010). Prospects for subsurface CO2 sequestration.AIChE J, 56(6): 1398–1405

[11]

HaungY Z (1998). Percolating Flow Mechanism of Low Permeability Reservoir. Beijing: Petroleum Industry Press: 80–86

[12]

IPCC (Intergovernmental Panel on Climate Change) (2005). IPCC Special Report on Carbon Dioxide Capture and Storage. New York City: Cambridge University Press

[13]

Javadpour F (2009). Nanopores and apparent permeability of gas flow in mudrocks (shales and siltstone).J Can Pet Technol, 48(08): 16–21

[14]

JuB S, YuJ B, LvG Z, Cao W D (2020). CO2 flooding of low permeability reservoir numerical simulation method and application. Geol Oil Recovery Oil gas, 27 (01): 126–133

[15]

Li D L, Zha W, Liu S, Wang L, Lu D (2016). Pressure transient analysis of low-permeability reservoir with pseudo threshold pressure gradient.J Petrol Sci Eng, 147: 308–316

[16]

Lu J, Dai F, Rahman M M, Escobar F H (2017). Boundary dominated flow in low permeability reservoir with threshold pressure gradient.RPN J Eng Appl Sci, 12(23): 6834–6843

[17]

Michael, K., Golab, A., Shulakova, V (2011). Geological storage of CO2 in saline aquifers—a review of the experience from existing storage operations. Int J Greenhouse Gas Contr, 4(4): 659–667.

[18]

Pertsin A, Grunze M (2004). Water-graphite interaction and behavior of water near the graphite surfaced.J Phys Chem B, 108(4): 1357–1364

[19]

Gao R , Lv C Y, Lun Zengmin , Wang R (2021). Numerical simulation of carbon dioxide displacement and storage.Special Oil Gas Reserv, 28(02): 102–107

[20]

Wang X K, Sheng J J (2017a). Effect of low-velocity non-Darcy flow on well production performance in shale and tight oil reservoirs.Fuel, 190: 41–46

[21]

WangY (2021). Experimental study of nonlinear seepage law in tight oil reservoir and its application in digital modeling software. The dissertation for Doctoral Degree. Anhui: University of Science and Technology of China.

[22]

ZhangJ G, LeiG L, ZhangY Y (1998). The Oil and Gas Flow Through Porous Media. Dongying: China University of Petroleum Press

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