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Lattice Boltzmann prediction of CO2 and CH4 competitive adsorption in shale porous media accelerated by machine learning for CO2 sequestration and enhanced CH4 recovery

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  • Wang, Han
  • Zhang, Mingshan
  • Xia, Xuanzhe
  • Tian, Zhenhua
  • Qin, Xiangjie
  • Cai, Jianchao

Abstract

CO2 injection has become the effective and potential means to enhance shale gas recovery and realize CO2 geological sequestration because of the CO2-CH4 competitive adsorption. However, the clarification on CO2-CH4 competitive adsorption behaviors is mainly limited to molecular simulations based on single nanoscale pore size, and it is difficult to carry out large-scale calculations based on pore-scale simulations. In this study, a new methodology coupling with molecular simulation, lattice Boltzmann method and machine learning is proposed to accurately simulate and rapidly predict the CO2-CH4 competitive adsorption in kerogen and illite three-dimensional nanoporous media under different CO2 molar fractions. From the features of pore structure and the accurate database of competitive adsorption behaviors from pore-scale simulations which are modified by molecular simulations, the Artificial Neural Network is then trained to be able to predict CO2-CH4 competitive adsorption capacity in arbitrary large-scale porous media. The above method overcomes the limitation of computing resource consumption of molecular simulation and pore-scale simulation, and provides research ideas and basic models for simulation and prediction of fluid adsorption behaviors in large-scale porous media.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:370:y:2024:i:c:s0306261924010213
    DOI: 10.1016/j.apenergy.2024.123638
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    References listed on IDEAS

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