Suppr超能文献

页岩基质中表观气体渗透率的孔隙尺度模拟与敏感性分析

Pore-Scale Simulation and Sensitivity Analysis of Apparent Gas Permeability in Shale Matrix.

作者信息

Zhang Pengwei, Hu Liming, Meegoda Jay N

机构信息

State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China.

Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.

出版信息

Materials (Basel). 2017 Jan 25;10(2):104. doi: 10.3390/ma10020104.

Abstract

Extremely low permeability due to nano-scale pores is a distinctive feature of gas transport in a shale matrix. The permeability of shale depends on pore pressure, porosity, pore throat size and gas type. The pore network model is a practical way to explain the macro flow behavior of porous media from a microscopic point of view. In this research, gas flow in a shale matrix is simulated using a previously developed three-dimensional pore network model that includes typical bimodal pore size distribution, anisotropy and low connectivity of the pore structure in shale. The apparent gas permeability of shale matrix was calculated under different reservoir pressures corresponding to different gas exploitation stages. Results indicate that gas permeability is strongly related to reservoir gas pressure, and hence the apparent permeability is not a unique value during the shale gas exploitation, and simulations suggested that a constant permeability for continuum-scale simulation is not accurate. Hence, the reservoir pressures of different shale gas exploitations should be considered. In addition, a sensitivity analysis was also performed to determine the contributions to apparent permeability of a shale matrix from petro-physical properties of shale such as pore throat size and porosity. Finally, the impact of connectivity of nano-scale pores on shale gas flux was analyzed. These results would provide an insight into understanding nano/micro scale flows of shale gas in the shale matrix.

摘要

纳米级孔隙导致的极低渗透率是页岩基质中气体运移的一个显著特征。页岩的渗透率取决于孔隙压力、孔隙度、孔隙喉道尺寸和气体类型。孔隙网络模型是从微观角度解释多孔介质宏观流动行为的一种实用方法。在本研究中,使用先前开发的三维孔隙网络模型模拟页岩基质中的气体流动,该模型包括页岩中典型的双峰孔径分布、各向异性和孔隙结构的低连通性。在对应于不同天然气开采阶段的不同储层压力下计算了页岩基质的表观气体渗透率。结果表明,气体渗透率与储层气体压力密切相关,因此在页岩气开采过程中表观渗透率不是一个唯一值,模拟表明连续尺度模拟中恒定渗透率并不准确。因此,应考虑不同页岩气开采的储层压力。此外,还进行了敏感性分析,以确定页岩的岩石物理性质(如孔隙喉道尺寸和孔隙度)对页岩基质表观渗透率的贡献。最后,分析了纳米级孔隙连通性对页岩气通量的影响。这些结果将有助于深入理解页岩气在页岩基质中的纳米/微观尺度流动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ca/5459163/27bd9ce3f797/materials-10-00104-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验