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METHOD FOR PREDICTING COAL POROSITY AND PERMEABILITY PARAMETERS BASED ON FRACTAL THEORY AND CT SCANNING

机译:分形理论和CT扫描的煤孔隙率和渗透率参数预测方法

摘要

A method for predicting coal porosity and permeability parameters based on fractal theory and CT scanning, comprising: first, performing a CT scan experiment on coal samples to acquire two-dimensional CT slices of the coal samples; using three-dimensional reconstruction software to accurately perform three-dimensional reconstruction of the actual pore and fissure structure of the samples, respectively obtaining three-dimensional pore and fissure structure models of six coal samples, and calculating the microscopic parameters of the coal samples; then using the Matlab program to import the three-dimensional pore and fissure structure data, and calculating the three-dimensional volume fractal dimensions of each coal sample; finally, combining the pore and fissure structure parameters obtained by the CT three-dimensional reconstruction with a tortuosity fractal mathematical model to obtain tortuosity fractal dimensions of three-dimensional space, and obtain the fitting function of porosity and permeability to fractal dimensions, to thereby accurately predict porosity and permeability.
机译:一种基于分形理论和CT扫描的煤孔隙度和渗透率参数预测方法,包括:首先对煤样进行CT扫描实验,获取煤样的二维CT切片。利用三维重构软件对样品的实际孔隙结构进行三维重构,分别得到六个煤样的三维裂缝结构模型,并计算出煤样的微观参数。然后使用Matlab程序导入三维孔隙和裂缝结构数据,并计算每个煤样的三维体积分形维数。最后,将CT三维重建得到的孔隙和裂隙结构参数与曲折分形数学模型相结合,得到三维空间的曲折分形维数,得到孔隙度和渗透率对分形维数的拟合函数,从而准确预测孔隙度和渗透率。

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