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Variation in Permeability during CO(2)–CH(4) Displacement in Coal Seams. Part 2: Modeling and Simulation
[Image: see text] Having a clear understanding of the permeability variation mechanism is important for controlling the process of displacement of CH(4) with CO(2) in deep coal seams. Based on the stress–strain equation of porous elastic media and horizontal strain variations of coal, a mathematical...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392516/ https://www.ncbi.nlm.nih.gov/pubmed/32743220 http://dx.doi.org/10.1021/acsomega.0c02293 |
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author | Li, Yong Wang, Jin Wang, Zhuangsen Pan, Zhejun |
author_facet | Li, Yong Wang, Jin Wang, Zhuangsen Pan, Zhejun |
author_sort | Li, Yong |
collection | PubMed |
description | [Image: see text] Having a clear understanding of the permeability variation mechanism is important for controlling the process of displacement of CH(4) with CO(2) in deep coal seams. Based on the stress–strain equation of porous elastic media and horizontal strain variations of coal, a mathematical model predicting permeability variation after CO(2) injection into gas saturated coal seams was established. The model shows that, during the displacement of CH(4) with CO(2), the shrinkage strain of the coal matrix increases logarithmically with the decrease of pore pressure. With a decrease in the reservoir pressure, permeability rebound occurs with the influence of matrix shrinkage and gas slippage. Under low confining pressures, the rebounded permeability is high, and its associated rebound pore pressure is also high. For coals with a high cleat compression coefficient, the permeability decreases range is obvious. And permeability rebound only happens under low reservoir pressures. Coal properties, e.g., Poisson’s ratio and Langmuir volume, show obvious influences in permeability variation during gas production. The model was also extended to predict permeability variation for a well-control area. During gas drainage process, the permeability in the well-controlled area first increases, then decreases, and then slowly returns to the original state with the lengthening of well-controlled radius. Under high confining pressures, the permeability decline range is more obvious. Also, correspondingly, the attenuation range of permeability increases and the rebound range decreases. The proposed model is beneficial in predicting permeability variations during the displacement of CH(4) with CO(2), as well as guiding CO(2) injection into coal seams. |
format | Online Article Text |
id | pubmed-7392516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73925162020-07-31 Variation in Permeability during CO(2)–CH(4) Displacement in Coal Seams. Part 2: Modeling and Simulation Li, Yong Wang, Jin Wang, Zhuangsen Pan, Zhejun ACS Omega [Image: see text] Having a clear understanding of the permeability variation mechanism is important for controlling the process of displacement of CH(4) with CO(2) in deep coal seams. Based on the stress–strain equation of porous elastic media and horizontal strain variations of coal, a mathematical model predicting permeability variation after CO(2) injection into gas saturated coal seams was established. The model shows that, during the displacement of CH(4) with CO(2), the shrinkage strain of the coal matrix increases logarithmically with the decrease of pore pressure. With a decrease in the reservoir pressure, permeability rebound occurs with the influence of matrix shrinkage and gas slippage. Under low confining pressures, the rebounded permeability is high, and its associated rebound pore pressure is also high. For coals with a high cleat compression coefficient, the permeability decreases range is obvious. And permeability rebound only happens under low reservoir pressures. Coal properties, e.g., Poisson’s ratio and Langmuir volume, show obvious influences in permeability variation during gas production. The model was also extended to predict permeability variation for a well-control area. During gas drainage process, the permeability in the well-controlled area first increases, then decreases, and then slowly returns to the original state with the lengthening of well-controlled radius. Under high confining pressures, the permeability decline range is more obvious. Also, correspondingly, the attenuation range of permeability increases and the rebound range decreases. The proposed model is beneficial in predicting permeability variations during the displacement of CH(4) with CO(2), as well as guiding CO(2) injection into coal seams. American Chemical Society 2020-07-17 /pmc/articles/PMC7392516/ /pubmed/32743220 http://dx.doi.org/10.1021/acsomega.0c02293 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Li, Yong Wang, Jin Wang, Zhuangsen Pan, Zhejun Variation in Permeability during CO(2)–CH(4) Displacement in Coal Seams. Part 2: Modeling and Simulation |
title | Variation in Permeability during CO(2)–CH(4) Displacement in Coal Seams. Part 2: Modeling and Simulation |
title_full | Variation in Permeability during CO(2)–CH(4) Displacement in Coal Seams. Part 2: Modeling and Simulation |
title_fullStr | Variation in Permeability during CO(2)–CH(4) Displacement in Coal Seams. Part 2: Modeling and Simulation |
title_full_unstemmed | Variation in Permeability during CO(2)–CH(4) Displacement in Coal Seams. Part 2: Modeling and Simulation |
title_short | Variation in Permeability during CO(2)–CH(4) Displacement in Coal Seams. Part 2: Modeling and Simulation |
title_sort | variation in permeability during co(2)–ch(4) displacement in coal seams. part 2: modeling and simulation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392516/ https://www.ncbi.nlm.nih.gov/pubmed/32743220 http://dx.doi.org/10.1021/acsomega.0c02293 |
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