Pore structure characterization and permeability prediction of uranium-bearing sandstone based on digital core
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...
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Published in | Nuclear engineering and technology Vol. 56; no. 11; pp. 4512 - 4521 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.11.2024
한국원자력학회 |
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Online Access | Get full text |
ISSN | 1738-5733 2234-358X |
DOI | 10.1016/j.net.2024.06.014 |
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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 nano-pores, 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. |
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AbstractList | 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. KCI Citation Count: 0 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 nano-pores, 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. |
Author | Cai, Qiue Wen, Xia Zeng, Sheng Zhang, Yanan Zeng, Bingyong Shen, Yuan Sun, Bing |
Author_xml | – sequence: 1 givenname: Sheng orcidid: 0000-0002-9283-6598 surname: Zeng fullname: Zeng, Sheng email: usczengs@126.com organization: School of Resources Environment and Safety Engineering, University of South China, Hengyang, 421001, China – sequence: 2 givenname: Yanan surname: Zhang fullname: Zhang, Yanan organization: School of Resources Environment and Safety Engineering, University of South China, Hengyang, 421001, China – sequence: 3 givenname: Bing surname: Sun fullname: Sun, Bing organization: School of Civil Engineering, University of South China, Hengyang, 421001, China – sequence: 4 givenname: Qiue surname: Cai fullname: Cai, Qiue organization: School of Resources Environment and Safety Engineering, University of South China, Hengyang, 421001, China – sequence: 5 givenname: Bingyong surname: Zeng fullname: Zeng, Bingyong organization: Resource Business Department, CGNPC Uranium Resources Co., Ltd, Beijing, 100029, China – sequence: 6 givenname: Yuan surname: Shen fullname: Shen, Yuan organization: School of Resources Environment and Safety Engineering, University of South China, Hengyang, 421001, China – sequence: 7 givenname: Xia surname: Wen fullname: Wen, Xia organization: School of Resources Environment and Safety Engineering, University of South China, Hengyang, 421001, China |
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Cites_doi | 10.1016/j.net.2023.03.034 10.1007/s11242-018-1181-4 10.1016/j.marpetgeo.2019.104069 10.1166/jnn.2017.14467 10.1016/j.jngse.2019.01.010 10.1016/j.fuel.2018.12.066 10.1016/j.petrol.2016.11.015 10.1007/s00226-020-01243-9 10.1007/s10967-023-09038-5 10.3390/min13060834 10.1016/S1876-3804(22)60334-3 10.1306/02251917173 10.1306/0425171609817007 10.1111/1755-6724.13860 10.1016/j.jappgeo.2012.07.015 10.1134/S1063784221010072 10.1016/j.fuel.2020.118735 10.1016/j.fuel.2019.116802 10.1016/j.enggeo.2019.04.014 10.1177/0144598716631667 10.1016/j.jngse.2019.03.019 10.1016/j.marpetgeo.2017.08.005 10.1016/j.net.2022.10.008 10.1016/j.fuel.2018.11.140 10.1142/S0218348X20500255 10.1016/j.fuel.2019.116635 10.1029/2021WR029796 |
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Keywords | Digital core Fractal seepage mode Fractal dimension Uranium ore sandstone CT scan |
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