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考虑裂隙粗糙度−孔形的煤体渗透率演化模型

Evolution model of coal bulk permeability considering fracture roughness-pore shape

  • 摘要: 煤体渗透率演化规律研究对煤层气高效开发与煤矿瓦斯灾害防治具有重要理论和工程意义。传统渗透率模型多在立方体模型或毛细血管模型基础上将裂隙简化为光滑平行板或等径圆管构建光滑裂隙的渗透率演化模型,但忽略了裂隙粗糙度与孔形差异的影响,导致预测结果存在偏差。为此,本文结合分形几何理论与渗流力学基本原理,基于圆锥体粗糙元假设及其尺寸服从分形分布的特征,建立裂隙粗糙度的定量表征方法,推导粗糙元有效平均高度及相对粗糙度表达式,进而对考虑粗糙度影响的裂隙有效孔径进行合理修正。在此基础上,分别针对毛细血管形和立方形两种典型孔形,引入修正后的有效孔径,分别构建渗透率演化方程并建立“粗糙度−应力−吸附”多因素耦合的渗透率模型。利用渗流实验数据验证模型有效性并开展参数敏感性分析,定量探讨粗糙度参数及孔形比对渗透率演化的调控规律。结果表明:所建模型能准确拟合渗透率随瓦斯压力降低的演化趋势;粗糙度增大显著抑制渗透率,且立方体模型对参数变化的响应较毛细血管模型更为敏感;除此之外,孔形也对渗透率存在明显调控作用。本文所建模型深化了对粗糙裂隙复杂渗流机理的认识,可为煤层气产能预测、抽采方案优化及瓦斯灾害防治等工程实践提供可靠的理论依据。

     

    Abstract: Research on the evolution of coal permeability is of great theoretical and engineering significance for the efficient development of coalbed methane and the prevention and control of coal mine gas disasters. Traditional permeability models are mostly established on the basis of cubic or capillary models, in which fractures are idealized as smooth parallel plates or circular tubes of uniform diameter to construct permeability evolution models for smooth fractures. However, these models overlook the effects of fracture roughness and pore shape differences, leading to deviations in prediction results. To address this, the present study combines fractal geometry theory with fundamental principles of seepage mechanics. Based on the assumption of conical roughness elements and the fractal distribution of their sizes, a quantitative characterization method for fracture roughness is established, from which the effective average height and relative roughness of the roughness elements are derived. Consequently, the effective aperture of fractures is reasonably modified to account for the influence of roughness. On this basis, for two typical pore shapes, namely capillary and cubic forms, the modified effective aperture is incorporated to construct permeability evolution equations separately, and a multi-factor coupled permeability model incorporating roughness, stress, and adsorption is established. The validity of the model is verified using seepage experimental data, and a parameter sensitivity analysis is conducted to quantitatively investigate the regulatory effects of roughness parameters and pore shape ratio on permeability evolution. The results indicate that the proposed model can accurately fit the evolutionary trend of permeability with decreasing gas pressure. Increased roughness significantly suppresses permeability, and the cubic model exhibits higher sensitivity to parameter variations compared with the capillary model. In addition, pore shape also exerts a notable regulatory influence on permeability. The model developed in this work deepens the understanding of complex seepage mechanisms in rough fractures and can provide a reliable theoretical basis for engineering practices such as coalbed methane productivity prediction, drainage scheme optimization, and gas disaster prevention.

     

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