Coal bed methane, a crucial clean energy source, has attracted extensive research attention. Characterized by intricate and rough fracture systems, coal seam is vital for gas migration, which will be influenced by the in situ stress, coal temperature, adsorption–desorption effect, solid deformation, and gas pressure. This paper introduces an innovative, interdisciplinary fractal model that addresses the limitations of current computational models in accurately representing the complex fractures under the coupled multi-field effects. Four novel fractal micro-parameters are introduced to capture the dynamics of rough networks. And rigorous validation against field extraction data reveals that the proposed micro-parameters outperform existing methods in analytical efficacy. Notably, those micro-parameters significantly influence fracture behavior and gas seepage. For instance, a DT increase from 1.2 to 1.8 and an ε rise from 0.06 to 0.18 lead to a respective 29.8% and 22.7% increase in gas pressure. Moreover, alterations in these fractal micro-parameters under coupled multi-field effects markedly impact coal bed stress, raising safety concerns in engineering projects, with a potential increase in coal stress by up to 2.62%. This research offers innovative insights into the complex coupled mechanisms governing rough fractures and significantly advances the understanding of the efficiency and safety in clean energy extraction processes.

中文翻译：

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耦合多场效应下清洁能源提取效率和安全性建模的跨学科方法

煤层气作为重要的清洁能源，引起了广泛的研究关注。煤层具有复杂、粗糙的裂隙系统，是瓦斯运移的关键，受地应力、煤温、吸附-解吸效应、固体变形和瓦斯压力的影响。本文介绍了一种创新的跨学科分形模型，该模型解决了当前计算模型在精确表示耦合多场效应下的复杂裂缝方面的局限性。引入了四个新颖的​​分形微观参数来捕获粗糙网络的动态。针对现场提取数据的严格验证表明，所提出的微观参数在分析效率方面优于现有方法。值得注意的是，这些微观参数显着影响裂缝行为和气体渗流。例如，DT从1.2增加到1.8，ε从0.06增加到0.18，导致气体压力分别增加29.8%和22.7%。此外，多场耦合作用下这些分形微观参数的变化显着影响煤层应力，引发工程项目的安全隐患，煤层应力可能增加高达2.62%。这项研究为控制粗糙裂缝的复杂耦合机制提供了创新见解，并显着增进了对清洁能源提取过程的效率和安全性的理解。