基于REV菌株和煤炭中等尺度变形法以及关键参数的灵敏度分析的透性模型集
Wei Wang1, Wenzhi Li1, Jinhao Yu1
1School of Civil Engineering and Architecture, Henan University, Kaifeng 475004, China.
ACS omega
|September 2, 2025
概括
采用立方法和代表元素体积的方法开发了用于煤床甲的新透性模型. 虽然立方法等效 (CLE) 模型与实验数据的一致性比恒定矩阵宽度 (CMW) 模型更好,但两者都有显著的适配错误.
科学领域:
- 地质科学
- 地球科学
- 石油工程
背景情况:
- 准确预测煤床透性对于有效利用煤床甲 (CBM) 资源至关重要.
- 现有的模型可能无法完全捕捉煤炭在压力下复杂的变形行为.
研究的目的:
- 根据代表性元素体积 (REV) 和立方法推导和评估新的透性模型.
- 在压力环境下真实地表示煤炭的中等尺度变形.
主要方法:
- 开发了三个模型集:立方法等价 (CLE),恒定矩阵宽度 (CMW) 和恒定REV体积 (CRV).
- 对实验数据的模型性能分析,重点是适配错误和参数灵敏度.
主要成果:
- 与CMW模型相比,CLE模型集包含真实应变关系,与实验数据有更好的一致性.
- 无论是CMW还是CLE模型集,都显示出大量的双参数适配 (PF-2) 错误,特别是不同气体 (N2,CH4,CO2) 的散装模量和吸附应变系数.
- 参数灵敏度分析显示,体积模量,断裂体积模量和吸附应变系数对模型预测有重大影响.
结论:
- 导出的透性模型提供了更现实的煤炭中等尺度变形.
- 显著的安装错误凸显了需要进一步完善这些模型以准确评估CBM资源.
- 了解参数灵敏度是提高模型准确性和减少预测偏差的关键.
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