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Pore-scale modeling of multiple fluids flow transport kinetics for CO2 enhanced gas recovery

Author

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  • Gao, Xinyuan
  • Yang, Shenglai
  • Wang, Beidong
  • Zhang, Yiqi
  • Hu, Jiangtao
  • Wang, Mengyu
  • Shen, Bin
  • Zhao, Ermeng

Abstract

Carbon storage with enhanced gas recovery (CSEGR) is a promising technology in the era of energy transition. The changes in the gas-liquid interface and the miscibility of fluids in the CO2-CH4-brine system are the key and difficult issues of mutual coupling. Therefore, this study develops a fully coupled multiphase flow and mass transfer model that considers both convective and diffusive interactions between gases while simulating the gas-liquid interface. This model explores the multiphase flow and diffusion characteristics of various fluids at the pore scale. Additionally, the study examines the profound impacts of pore pressure and wettability. The findings are as follows: The high density and viscosity of CO2 causes it to flow in the center of the dominant channels, while CH4 and water prefer to be distributed along the pore walls. At lower pore pressures, diffusion becomes a key factor in interphase gas exchange. As pressure increases, the effect of convection exceeds that of diffusion, resulting in a more dynamic mixing of CO2 and CH4. For highly hydrophilic reservoirs, water film will hinder the flow of CO2 and cause gas retention. Moderately hydrophilic reservoirs provide the best conditions for CO2 displacement while reducing gas mixing. Weakly hydrophilic reservoirs have minimal water resistance, which is conducive to CO2 displacement, but will lead to sufficient mixing between CO2 and CH4. This study aims to elucidate the interactions among various fluids and the impact of pore structures on flow behavior through numerical simulation, thereby offering a more comprehensive scientific basis for optimizing design.

Suggested Citation

  • Gao, Xinyuan & Yang, Shenglai & Wang, Beidong & Zhang, Yiqi & Hu, Jiangtao & Wang, Mengyu & Shen, Bin & Zhao, Ermeng, 2025. "Pore-scale modeling of multiple fluids flow transport kinetics for CO2 enhanced gas recovery," Energy, Elsevier, vol. 315(C).
  • Handle: RePEc:eee:energy:v:315:y:2025:i:c:s0360544225001288
    DOI: 10.1016/j.energy.2025.134486
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    References listed on IDEAS

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    1. Wang, Han & Zhang, Mingshan & Xia, Xuanzhe & Tian, Zhenhua & Qin, Xiangjie & Cai, Jianchao, 2024. "Lattice Boltzmann prediction of CO2 and CH4 competitive adsorption in shale porous media accelerated by machine learning for CO2 sequestration and enhanced CH4 recovery," Applied Energy, Elsevier, vol. 370(C).
    2. Zhu, Qingyuan & Wu, Keliu & Guo, Shiqiang & Peng, Fei & Zhang, Shengting & Jiang, Liangliang & Li, Jing & Feng, Dong & Zhang, Yafei & Chen, Zhangxin, 2024. "Pore-scale investigation of CO2-oil miscible flooding in tight reservoir," Applied Energy, Elsevier, vol. 368(C).
    3. Li, Yuwei & Peng, Genbo & Tang, Jizhou & Zhang, Jun & Zhao, Wanchun & Liu, Bo & Pan, Yishan, 2023. "Thermo-hydro-mechanical coupling simulation for fracture propagation in CO2 fracturing based on phase-field model," Energy, Elsevier, vol. 284(C).
    4. Shen, Bin & Yang, Shenglai & Hu, Jiangtao & Zhang, Yiqi & Zhang, Lingfeng & Ye, Shanlin & Yang, Zhengze & Yu, Jiayi & Gao, Xinyuan & Zhao, Ermeng, 2024. "Interpretable causal-based temporal graph convolutional network framework in complex spatio-temporal systems for CCUS-EOR," Energy, Elsevier, vol. 309(C).
    5. Wu, Jian & Gan, Yixiang & Shi, Zhang & Huang, Pengyu & Shen, Luming, 2023. "Pore-scale lattice Boltzmann simulation of CO2-CH4 displacement in shale matrix," Energy, Elsevier, vol. 278(PB).
    6. Gao, Xinyuan & Yang, Shenglai & Tian, Lerao & Shen, Bin & Bi, Lufei & Zhang, Yiqi & Wang, Mengyu & Rui, Zhenhua, 2024. "System and multi-physics coupling model of liquid-CO2 injection on CO2 storage with enhanced gas recovery (CSEGR) framework," Energy, Elsevier, vol. 294(C).
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    Cited by:

    1. Jiaqi Zhao & Yi Li & Qi Li & Wentao Ban & Qingchun Yu, 2025. "Comparative Study on Numerical Simulation of CH4 Breakthrough Pressure in Unsaturated Rock Based on Step‐By‐Step Method and Continuous Injection Method," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 15(2), pages 229-247, April.
    2. Cheng, Sihong & Che, Zichang & Tong, Yali & Li, Guoliang & Yue, Tao, 2025. "Design and application of a hybrid predictive control framework for carbon capture in pressurized circulating fluidized bed coal-fired processes," Energy, Elsevier, vol. 322(C).
    3. Xia, Yongqiang & Yu, Tao & Yang, Lei & Chen, Bingbing & Jiang, Lanlan & Yang, Mingjun & Song, Yongchen, 2025. "Multi-state CO2 distribution patterns for subsea carbon sequestration assisted by large-scale CO2 hydrate caps," Energy, Elsevier, vol. 320(C).
    4. Wu, Mingyu & Sun, Huiru & Liu, Qingbin & Lv, Xin & Chen, Bingbing & Yang, Mingjun & Song, Yongchen, 2025. "Enhancing CO2 sequestration safety with hydrate caps: A comparative study of CO2 injection modes and saturation effects," Energy, Elsevier, vol. 320(C).

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