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Numerical Simulation of Abandoned Gob Methane Drainage through Surface Vertical Wells
The influence of the ventilation system on the abandoned gob weakens, so the gas seepage characteristics in the abandoned gob are significantly different from those in a normal mining gob. In connection with this, this study physically simulated the movement of overlying rock strata. A spatial distr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425438/ https://www.ncbi.nlm.nih.gov/pubmed/25955438 http://dx.doi.org/10.1371/journal.pone.0125963 |
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author | Qin, Wei Xu, Jialin Hu, Guozhong |
author_facet | Qin, Wei Xu, Jialin Hu, Guozhong |
author_sort | Qin, Wei |
collection | PubMed |
description | The influence of the ventilation system on the abandoned gob weakens, so the gas seepage characteristics in the abandoned gob are significantly different from those in a normal mining gob. In connection with this, this study physically simulated the movement of overlying rock strata. A spatial distribution function for gob permeability was derived. A numerical model using FLUENT for abandoned gob methane drainage through surface wells was established, and the derived spatial distribution function for gob permeability was imported into the numerical model. The control range of surface wells, flow patterns and distribution rules for static pressure in the abandoned gob under different well locations were determined using the calculated results from the numerical model. |
format | Online Article Text |
id | pubmed-4425438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44254382015-05-21 Numerical Simulation of Abandoned Gob Methane Drainage through Surface Vertical Wells Qin, Wei Xu, Jialin Hu, Guozhong PLoS One Research Article The influence of the ventilation system on the abandoned gob weakens, so the gas seepage characteristics in the abandoned gob are significantly different from those in a normal mining gob. In connection with this, this study physically simulated the movement of overlying rock strata. A spatial distribution function for gob permeability was derived. A numerical model using FLUENT for abandoned gob methane drainage through surface wells was established, and the derived spatial distribution function for gob permeability was imported into the numerical model. The control range of surface wells, flow patterns and distribution rules for static pressure in the abandoned gob under different well locations were determined using the calculated results from the numerical model. Public Library of Science 2015-05-08 /pmc/articles/PMC4425438/ /pubmed/25955438 http://dx.doi.org/10.1371/journal.pone.0125963 Text en © 2015 Qin et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Qin, Wei Xu, Jialin Hu, Guozhong Numerical Simulation of Abandoned Gob Methane Drainage through Surface Vertical Wells |
title | Numerical Simulation of Abandoned Gob Methane Drainage through Surface Vertical Wells |
title_full | Numerical Simulation of Abandoned Gob Methane Drainage through Surface Vertical Wells |
title_fullStr | Numerical Simulation of Abandoned Gob Methane Drainage through Surface Vertical Wells |
title_full_unstemmed | Numerical Simulation of Abandoned Gob Methane Drainage through Surface Vertical Wells |
title_short | Numerical Simulation of Abandoned Gob Methane Drainage through Surface Vertical Wells |
title_sort | numerical simulation of abandoned gob methane drainage through surface vertical wells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425438/ https://www.ncbi.nlm.nih.gov/pubmed/25955438 http://dx.doi.org/10.1371/journal.pone.0125963 |
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