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    Fast and Accurate Calculation on Competitive Adsorption Behavior in Shale Nanopores by Machine Learning Model

    Hao Yu1,*, Mengcheng Huang1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011120

    Abstract Understanding the competitive adsorption behavior of CO2 and CH4 in shale nanopores is crucial for enhancing the recovery of shale gas and sequestration of CO2, which is determined by both the inherent characteristics of the molecules and external environmental factors such as pore size, temperature, and partial pressures of CO2 and CH4. While the competitive adsorption behavior of CO2/CH4 has been analyzed by previous studies, a comprehensive understanding from the perspective of molecular kinetic theory and the efficient calculation for competitive adsorption behavior considering various geological situations is still challenging, limited by the huge computation cost of classical… More >

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