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首页> 外文期刊>International Journal of Rock Mechanics and Mining Sciences >Three-dimensional modeling and analysis of macro-pore structure of coal using combined X-ray CT imaging and fractal theory
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Three-dimensional modeling and analysis of macro-pore structure of coal using combined X-ray CT imaging and fractal theory

机译:X射线CT成像和分形理论的三维建模与煤的宏观结构

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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 coals 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.
机译:煤的多孔结构直接确定其气体运输性能。煤的流体流动行为是影响煤炭能源行业的关键科学问题之一。在这项研究中,通过CT图像通过3-D煤结构重建研究了真实煤大孔结构对通过煤流体流动的影响。基于重建的煤结构,定量分析微米级结构参数。建立了一个新编程的MATLAB代码,以找到体积分形尺寸,获得煤和体积分形尺寸的孔隙率/渗透率之间的关系,并使用三维盒尺寸算法估算曲折分形维数。结果表明,6煤样的体积分形尺寸范围为2.25至2.79,毛细管的曲折分形尺寸为2.15至2.73。 3-D煤结构不能定量地估计煤的真正孔隙率,但是它可以用于通过表面孔隙的平均偏差来表征煤多孔结构的复杂性。从重建的煤可以清楚地看出,即煤样本-C3是高度异质的,因为它具有复杂的孔结构以及孔径分布和表面孔隙率的最高平均偏差。体积分形尺寸可用于定量地定义孔的复杂性。煤的孔隙率越大,分形维数越大。煤的渗透率和孔隙率与体积分形维数负相关。抗组织分形尺寸可以有效地表征煤渗透性,但它与煤孔隙率略微相关。本研究的结果有助于了解异源煤中基于结构的流动特征和气体运输行为,这将对煤层气储存器和煤矿煤气排水的气体提取意义。

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