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Quantitative analysis of microscopic structure and gas seepage characteristics of low-rank coal based on CT three-dimensional reconstruction of CT images and fractal theory

机译:基于CT图像三维三维重构和分形理论的低阶煤微观结构与渗流特征定量分析

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摘要

The pores/fractures are places for gas migration and storage in coal. Their structure complexity will directly influence the pore structure parameters and gas seepage properties of coal. Therefore, we selected 6 low-rank coal samples and quantitatively studied these influences utilizing the high-resolution micro computed tomography (mu CT) and fractal theory. The total pore structure and connected pore structure parameters of 6 samples were acquired from three-dimensional (3D) reconstruction of CT images. The fractal dimensions of total pore structures (D-f), solid structures (D-s) and connected pore structures (D-c) were calculated using 3D box-counting method. The relationship between D-f and porosity was analyzed through the 3D total pore model, and the relationships between D-c and connectivity as well as permeability were analyzed through the 3D connected pore model. The results show that D-f, which is between 2.10 and 2.43, could accurately describe the fractal characteristics of coal and the solid structure of coal is not fractal. The porosities of the 6 samples are between 3.33% and 12.18% and their relationship with D-f can be defined by a monotonically increasing power function. The larger the D-f is, the larger the porosity of the tested coal sample. D-c is between 2.28 and 2.32, the connectivity is between 0.54 and 0.83, and the permeability is in the range of 1.76-11.63 x 10(-8) m(2) (except samples 1 and 6). D-c is negatively correlated with connectivity and permeability and its relationship with connectivity and permeability can be represented by the quadratic function and monotone decreasing power function, respectively.
机译:孔/裂缝是煤中气体迁移和储存的地方。它们的结构复杂性将直接影响煤的孔隙结构参数和气体渗透性。因此,我们选择了6个低阶煤样品,并利用高分辨率微计算机断层扫描(mu CT)和分形理论对这些影响进行了定量研究。从CT图像的三维(3D)重建中获取了6个样品的总孔结构和连接的孔结构参数。使用3D盒计数法计算总孔结构(D-f),固体结构(D-s)和连通孔结构(D-c)的分形维数。通过3D总孔隙模型分析了D-f与孔隙度之间的关系,并通过3D连通孔隙模型分析了D-c与连通性及渗透率之间的关系。结果表明,D-f在2.10和2.43之间,可以准确地描述煤的分形特征,而煤的固体结构不是分形的。 6个样品的孔隙率在3.33%和12.18%之间,它们与D-f的关系可以通过单调增加的幂函数来定义。 D-f越大,被测煤样品的孔隙率越大。 D-c在2.28和2.32之间,连通性在0.54和0.83之间,磁导率在1.76-11.63 x 10(-8)m(2)范围内(样品1和6除外)。 D-c与连通性和磁导率呈负相关,其与连通性和磁导率的关系可以分别由二次函数和单调递减幂函数表示。

著录项

  • 来源
    《Fuel》 |2019年第15期|115900.1-115900.11|共11页
  • 作者单位

    Shandong Univ Sci & Technol Mine Disaster Prevent & Control Minist State Key Lab Breeding Base Qingdao 266590 Shandong Peoples R China|Shandong Univ Sci & Technol Coll Min & Safety Engn Qingdao 266590 Shandong Peoples R China;

    Shandong Univ Sci & Technol Coll Min & Safety Engn Qingdao 266590 Shandong Peoples R China;

    Chongqing Univ State Key Lab Coal Mine Disaster Dynam & Control Chongqing 400044 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Micro-CT; 3D reconstruction; Fractal dimension; Porosity and permeability; Connectivity;

    机译:微型CT;3D重建;分形维数孔隙率和渗透率;连接性;

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