Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Pore structure characterization and permeability prediction of uranium-bearing sandstone based on digital core

  • Sheng Zeng (School of Resources Environment and Safety Engineering, University of South China) ;
  • Yanan Zhang (School of Resources Environment and Safety Engineering, University of South China) ;
  • Bing Sun (School of Civil Engineering, University of South China) ;
  • Qiue Cai (School of Resources Environment and Safety Engineering, University of South China) ;
  • Bingyong Zeng (Resource Business Department, CGNPC Uranium Resources Co., Ltd) ;
  • Yuan Shen (School of Resources Environment and Safety Engineering, University of South China) ;
  • Xia Wen (School of Resources Environment and Safety Engineering, University of South China)
  • Received : 2024.01.21
  • Accepted : 2024.06.10
  • Published : 2024.11.25
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Abstract

The permeability of the ore-bearing layer is an important indicator affecting the in-situ leaching (ISL) of uranium-bearing sandstone, which is related to various factors such as pore shape, distribution, and size. In order to study the effect of pore structure on seepage in low-permeability uranium-bearing sandstone, CT scanning tests were conducted to create a 3D digital core based on scanning images and to calculate the fractal dimension using the box counting dimension method, which integrated fractal theory to define the core samples' pore structure. The permeability prediction was realized based on the porosity-permeability model and the fractal theory model. Results indicated that this type of sandstone is obviously characterized by pore connectivity, large differences in distribution, and strong microscopic inhomogeneity. The pores are dominated by micro- and nanopores, as well as small pores, accounting for 90 %; macropores are few in number, but the diameters of their single pores are large. The distribution of pore structure in this type of sandstone exhibits a good fractal characteristic; the three-dimensional fractal dimensionality is 2.044-2.310. The porosity-permeability model was established, and permeability prediction was realized by combining the fractal theory to provide theoretical support for determining the values of well field parameters in ISL.

Keywords

Acknowledgement

This study was supported by the Natural Science Foundation of China (Grant No. 11775107).

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