Heterogeneity properties and permeability of shale matrix at nano-scale and micron-scale

被引:0
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作者
Hu, Bowen [1 ,2 ]
Ren, Yongjie [2 ,3 ]
Sun, Rui [1 ]
Wang, Shengcheng [4 ]
Su, Shanjie [4 ]
机构
[1] State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Jiangsu, Xuzhou,221116, China
[2] Henan Polytechnic University, State Key Laboratory Cultivation Base for Gas Geology and Gas Control, Jiaozuo,454003, China
[3] School of Management Engineering, Xuzhou University of Technology, Jiangsu, Xuzhou,221018, China
[4] School of Civil Engineering, Xuzhou University of Technology, Jiangsu, Xuzhou,221018, China
关键词
Fractal dimension;
D O I
10.1063/5.0223200
中图分类号
学科分类号
摘要
Heterogeneity of shale pores at nano-scale and micrometer-scale is of great significance to gas transport properties. In this study, the pore structure of shale samples from lower Silurian Longmaxi Formation in the Sichuan basin is investigated by field emission-scanning electron microscopy (FE-SEM) and x-ray micro-computed tomography (Xμ-CT) technology. Based on fractal theory, the lacunarity is introduced to describe the clustering degree of pores in shale matrix, which can compensate for the limitations of fractal dimension. Combining lacunarity with fractal dimension allows for quantification of subtle differences in pore spatial distribution. For FE-SEM images at nano-scales, the fractal dimension changes in a U shape, while lacunarity changes in a ∩ shape. For Xμ-CT images at micrometer-scale, both the fractal dimension and lacunarity change in a logarithmic function. Lacunarity at both nano-scale and micrometer-scale linearly decreases with the increase in fractal dimension. By three-dimensional (3D) pore network modeling analysis, the structure properties of the connected pores, such as the number of pores and throats, pore diameter, pore volume, pore surface, throat length, and coordination number, are quantitatively calculated, and these structure parameters show strong heterogeneity. The average coordination number of the connected pores ranges in 2.92-4.36. This indicates that these pores in shale matrix have poor connectivity. The permeability varies from 0.06 to 0.17 μm2 in two-dimensional (2D) Xμ-CT images but from 3.20 to 34.99 μm2 in a 3D structure. The permeability in the 3D structure is about two order higher in magnitude than that in the 2D Xμ-CT images. © 2024 Author(s).
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