Three-dimensional modeling and analysis of macro-pore structure of coal using combined X-ray CT imaging and fractal theory

曲折 分形维数 多孔性 分形 材料科学 矿物学 磁导率 体积热力学 大孔隙 箱式计数 地质学 分形分析 几何学 数学 热力学 化学 复合材料 物理 数学分析 催化作用 有机化学 介孔材料 生物化学
作者
Gang Wang,Junnan Shen,Shimin Liu,Chenghao Jiang,Xiangjie Qin
出处
期刊:International Journal of Rock Mechanics and Mining Sciences [Elsevier]
卷期号:123: 104082-104082 被引量:257
标识
DOI:10.1016/j.ijrmms.2019.104082
摘要

The porous structure of coal directly determines its gas transport property. The fluid flow behavior of coal is one of the key science questions that will influence the coal energy industry. In this study, the influence of real coal macropore structure on the fluid flow through coal was studied through 3-D coal structure reconstruction by the CT images. Based on the reconstructed coal structure, the micron-scale structure parameters were quantitatively analyzed. A newly programmed Matlab code was established to find the volume fractal dimension, obtain the relationship between porosity/permeability of coal and volume fractal dimension, and estimate the tortuosity fractal dimension by using the 3-D box dimension algorithm. The results show that the volume fractal dimensions of 6 coal samples range from 2.25 to 2.79 and the tortuosity fractal dimensions of capillaries range from 2.15 to 2.73. The 3-D coal structure cannot only quantitatively estimate the real porosity of the coal, but it can be used to characterize the complexity of coal's porous structure through mean deviation of surface porosity. It can be clearly seen from the reconstructed coal that coal specimen-C3 is highly heterogeneous because it has complex pore structure as well as wider pore size distribution and the highest mean deviation of the surface porosity. The volume fractal dimension can be used to quantitatively define the complexity of pores. The larger the porosity of coal, the greater the fractal dimension. The permeability and porosity of coal are negatively correlated with the volume fractal dimension. The tortuosity fractal dimension can effectively characterize coal permeability, but it weakly correlates with coal porosity. The outcome of this study helps to understand the structure-based flow characterization and gas transport behavior in heterogenous coal which will have the implication of the gas extraction from coalbed methane reservoirs and coal mine gas drainage.
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