分形维数
磁导率
多孔性
材料科学
分形
煤层气
多孔介质
岩土工程
煤
机械
几何学
煤矿开采
复合材料
地质学
数学
化学
膜
数学分析
生物化学
物理
有机化学
作者
Zhaolong Ge,Hui Zhang,Zhe Zhu,Yudong Hou,Maolin Ye,Chengtian Li
出处
期刊:Journal of Energy Resources Technology-transactions of The Asme
[ASME International]
日期:2023-03-02
卷期号:145 (8)
被引量:1
摘要
Abstract A reasonable coal seam permeability model should be established to accurately estimate the extraction effectiveness of coalbed methane (CBM). Existing permeability models typically ignore the influence of pore structure parameters on the permeability, leading to an overestimation of the measured permeability, and consequently, the CBM production cannot be effectively predicted. This paper presents a novel permeability model based on discrete pore structures at the micro–nano scale. The model considers the interaction between the pore fractal geometry parameters, coal deformation, and CBM transport inside these pores. The contributions of key pore geometry parameters, including the maximum pore diameter, minimum pore diameter, porosity, and fractal dimensions, to the initial permeability were investigated. A numerical analysis showed that the influence of fractal dimension on the permeability is finally reflected in the influence of pore structure parameters. The initial permeability is exponential to the minimum pore diameter and proportional to the maximum pore diameter and porosity. In addition, the macroscopic permeability of the coal is positively correlated with the maximum pore diameter, minimum pore diameter, and porosity, with the minimum pore diameter having the most significant influence on the permeability evolution process. This research provides a theoretical foundation for revealing the gas flow mechanism within coal seams and enhancing the extraction effectiveness of CBM.
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