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Adsorption Models for Shale Gas: A Mini-Review

期刊

ENERGY & FUELS
卷 36, 期 21, 页码 12946-12960

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.energyfuels.2c02885

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资金

  1. Project of Science and Technology Research Program of Chongqing Education Commission of China [KJQN202201517, KJQN202001501]
  2. Project of Chongqing Natural Science Foundation [cstc2019jcyj-zdxmX0032, cstc2019jcyj-msxmX0331]
  3. Research Foundation of Chongqing University of Science and Technology [ckrc2022025]

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This study summarizes the methods of experiments, simulation, and models on shale gas adsorption and clarifies their advantages and disadvantages. The results show that the isothermal adsorption experiment is still the basic method, molecular simulation can reveal the microcosmic mechanisms but has limitations, and the shale gas adsorption models are difficult to reflect shale reservoir characteristics.
Clarifying shale gas adsorption mechanism and establishing a reliable shale gas adsorption model are the basis of evaluating shale gas geological reserve and studying flow theory, so rich research on shale gas adsorption has been reported recently. However, with the development of shale gas reservoirs, the reservoir depth is deeper, and the environment is more complicated, especially the characteristic of high temperature and high pressure. These bring a new challenge to reveal the deep shale gas adsorption characteristics by using existing shale gas adsorption theoretical models established based on the middle and shallow shale gas reservoirs. Therefore, the popular methods of experiments, simulation, and models on shale gas adsorption are summarized in detail, and their advantages and disadvantages are clarified. The results show that the isothermal adsorption experiment of shale gas is still the basis method to study shale gas adsorption, but the experimental pressure should be further increased to meet the conditions of deep shale gas reservoir. Molecular simulation can reveal the shale gas adsorption microcosmic mechanisms, but the simulation results have multiple solutions, and the simulation scale is small, difficult to truly reflect the adsorption characteristics of shale gas in a larger scale. Shale gas adsorption models are established mostly based on classical adsorption models or their modifications, and hence they are difficult to reflect shale reservoir characteristics, such as total organic carbon (TOC), primary water, and desorption hysteresis. Therefore, it is important to establish a set of shale gas adsorption-desorption model which can fully consider the shale reservoir characteristics in the future.

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