Journal of Jilin University(Earth Science Edition) ›› 2020, Vol. 50 ›› Issue (4): 1003-1011.doi: 10.13278/j.cnki.jjuese.20190148

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Permeability Prediction Based on Fractal Characteristics of Digital Rock

Yang Kun, Wang Fuyong, Zeng Fanchao, Zhao Jiuyu, Wang Congle   

  1. Unconventional Petroleum Research Institute, China University of Petroleum(Beijing), Beijing 102249, China
  • Received:2019-07-29 Online:2020-07-26 Published:2020-07-29
  • Supported by:
    Supported by National Natural Science Foundation of China (51604285, 51874320)

Abstract: Based on digital rock technology, the core CT scanning images are processed to obtain the core fractal parameters with fractal theory, and then the core permeability is predicted by constructing an equivalent fractal model of digital rock. In this study, firstly, the micro-CT scanning experiments of two sandstones were carried out,the core pore network models were extracted, and the pore throat structures were analyzed. Further, these two digital rocks and nine digital rocks from the Imperial College were processed to obtain the fractal parameters including fractal dimension, tortuosity, tortuosity dimension, and maximum pore radius by using MATLAB and Image J. Finally, based on the fractal permeability model, the permeability of cores was predicted. The results show that the pore throat radius distribution and pore coordination number distribution have influence on core permeability. The predicted permeability has a good correlation with the core permeability, and the correlation coefficient is greater than 0.97. Therefore, the core permeability can be effectively predicted based on digital rock technology by constructing an equivalent fractal model.

Key words: digital rock, CT scanning, permeability, fractal, pore structure

CLC Number: 

  • TE311
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