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3D Quantitative Prediction of the Groundwater Potential Area—A Case Study of a Simple Geological Structure Aquifer
[Image: see text] The Ordos Basin is a sedimentary basin located in Inner Mongolia, China, where coal and uranium coexist. Water inrush disasters have always been one of the main disasters that threaten the safety of coal mine production, and thus, the study and division of groundwater potential reg...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161244/ https://www.ncbi.nlm.nih.gov/pubmed/35664631 http://dx.doi.org/10.1021/acsomega.2c01387 |
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author | Li, Liyao Xia, Fei Liu, Jinhui Zang, Kai Liu, Chao Wei, Jiuchuan Liu, Longlong |
author_facet | Li, Liyao Xia, Fei Liu, Jinhui Zang, Kai Liu, Chao Wei, Jiuchuan Liu, Longlong |
author_sort | Li, Liyao |
collection | PubMed |
description | [Image: see text] The Ordos Basin is a sedimentary basin located in Inner Mongolia, China, where coal and uranium coexist. Water inrush disasters have always been one of the main disasters that threaten the safety of coal mine production, and thus, the study and division of groundwater potential regions are of great significance for the prevention of water inrush disasters and in situ leaching of sandstone-type uranium ore. A new method combining truncated Gaussian simulation and sedimentary facies control was established to predict the groundwater potential area. Taking a typical aquifer, the Zhiluo Formation, as an example, based on high-resolution sequence stratigraphy, geophysics, sedimentary geology, and geostatistical theory, the plane distribution of sand bodies was predicted. Furthermore, the relationship between rock porosity and electricity porosity was established to calculate the regional porosity. Combined with truncated Gaussian simulation and facies-controlled modeling methods, a facies-controlled heterogeneous property model was established to analyze the heterogeneous effective porosity of the aquifer in the study area. Groundwater potential areas were quantitatively evaluated by 3D modeling analysis. The results of the evaluated model were verified by actual data and provide a geological guarantee for the accurate mining of deep coal and uranium ore. A 3D distributed model of chemical elements, which is meaningful for in situ leaching uranium mining, is expected in future research. |
format | Online Article Text |
id | pubmed-9161244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-91612442022-06-03 3D Quantitative Prediction of the Groundwater Potential Area—A Case Study of a Simple Geological Structure Aquifer Li, Liyao Xia, Fei Liu, Jinhui Zang, Kai Liu, Chao Wei, Jiuchuan Liu, Longlong ACS Omega [Image: see text] The Ordos Basin is a sedimentary basin located in Inner Mongolia, China, where coal and uranium coexist. Water inrush disasters have always been one of the main disasters that threaten the safety of coal mine production, and thus, the study and division of groundwater potential regions are of great significance for the prevention of water inrush disasters and in situ leaching of sandstone-type uranium ore. A new method combining truncated Gaussian simulation and sedimentary facies control was established to predict the groundwater potential area. Taking a typical aquifer, the Zhiluo Formation, as an example, based on high-resolution sequence stratigraphy, geophysics, sedimentary geology, and geostatistical theory, the plane distribution of sand bodies was predicted. Furthermore, the relationship between rock porosity and electricity porosity was established to calculate the regional porosity. Combined with truncated Gaussian simulation and facies-controlled modeling methods, a facies-controlled heterogeneous property model was established to analyze the heterogeneous effective porosity of the aquifer in the study area. Groundwater potential areas were quantitatively evaluated by 3D modeling analysis. The results of the evaluated model were verified by actual data and provide a geological guarantee for the accurate mining of deep coal and uranium ore. A 3D distributed model of chemical elements, which is meaningful for in situ leaching uranium mining, is expected in future research. American Chemical Society 2022-05-17 /pmc/articles/PMC9161244/ /pubmed/35664631 http://dx.doi.org/10.1021/acsomega.2c01387 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Li, Liyao Xia, Fei Liu, Jinhui Zang, Kai Liu, Chao Wei, Jiuchuan Liu, Longlong 3D Quantitative Prediction of the Groundwater Potential Area—A Case Study of a Simple Geological Structure Aquifer |
title | 3D Quantitative Prediction of the Groundwater Potential
Area—A Case Study of a Simple Geological Structure Aquifer |
title_full | 3D Quantitative Prediction of the Groundwater Potential
Area—A Case Study of a Simple Geological Structure Aquifer |
title_fullStr | 3D Quantitative Prediction of the Groundwater Potential
Area—A Case Study of a Simple Geological Structure Aquifer |
title_full_unstemmed | 3D Quantitative Prediction of the Groundwater Potential
Area—A Case Study of a Simple Geological Structure Aquifer |
title_short | 3D Quantitative Prediction of the Groundwater Potential
Area—A Case Study of a Simple Geological Structure Aquifer |
title_sort | 3d quantitative prediction of the groundwater potential
area—a case study of a simple geological structure aquifer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161244/ https://www.ncbi.nlm.nih.gov/pubmed/35664631 http://dx.doi.org/10.1021/acsomega.2c01387 |
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