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Pore Permeability Model Based on Fractal Geometry Theory and Effective Stress

机译:基于分形几何理论和有效应力的孔隙渗透率模型

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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.
机译:应建立合理的煤层渗透率模型,准确估算煤层气(CBM)的开采效果。现有的渗透率模型通常忽略了孔隙结构参数对渗透率的影响,导致测得渗透率被高估,因此无法有效预测煤层气产量。本文提出了一种新的基于微纳尺度离散孔隙结构的渗透率模型。该模型考虑了孔隙分形几何参数、煤变形和这些孔隙内的煤层气运移之间的相互作用。研究了最大孔径、最小孔径、孔隙度和分形维数等关键孔隙几何参数对初始渗透率的贡献。数值分析表明,分形维数对渗透率的影响最终体现在孔隙结构参数的影响上。初始渗透率与最小孔径呈指数关系,与最大孔径和孔隙率成正比。此外,煤的宏观渗透率与最大孔径、最小孔径和孔隙度呈正相关,其中最小孔径对渗透率演化过程的影响最为显著。本研究为揭示煤层内气流机理、提高煤层气开采效率提供了理论基础。

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