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Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix
The gas flow in shale matrix is of great research interests for optimized shale gas extraction. The gas flow in the nano-scale pore may fall in flow regimes such as viscous flow, slip flow and Knudsen diffusion. A 3-dimensional nano-scale pore network model was developed to simulate dynamic gas flow...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642512/ https://www.ncbi.nlm.nih.gov/pubmed/26310236 http://dx.doi.org/10.1038/srep13501 |
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author | Zhang, Pengwei Hu, Liming Meegoda, Jay N. Gao, Shengyan |
author_facet | Zhang, Pengwei Hu, Liming Meegoda, Jay N. Gao, Shengyan |
author_sort | Zhang, Pengwei |
collection | PubMed |
description | The gas flow in shale matrix is of great research interests for optimized shale gas extraction. The gas flow in the nano-scale pore may fall in flow regimes such as viscous flow, slip flow and Knudsen diffusion. A 3-dimensional nano-scale pore network model was developed to simulate dynamic gas flow, and to describe the transient properties of flow regimes. The proposed pore network model accounts for the various size distributions and low connectivity of shale pores. The pore size, pore throat size and coordination number obey normal distribution, and the average values can be obtained from shale reservoir data. The gas flow regimes were simulated using an extracted pore network backbone. The numerical results show that apparent permeability is strongly dependent on pore pressure in the reservoir and pore throat size, which is overestimated by low-pressure laboratory tests. With the decrease of reservoir pressure, viscous flow is weakening, then slip flow and Knudsen diffusion are gradually becoming dominant flow regimes. The fingering phenomenon can be predicted by micro/nano-pore network for gas flow, which provides an effective way to capture heterogeneity of shale gas reservoir. |
format | Online Article Text |
id | pubmed-4642512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46425122015-11-20 Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix Zhang, Pengwei Hu, Liming Meegoda, Jay N. Gao, Shengyan Sci Rep Article The gas flow in shale matrix is of great research interests for optimized shale gas extraction. The gas flow in the nano-scale pore may fall in flow regimes such as viscous flow, slip flow and Knudsen diffusion. A 3-dimensional nano-scale pore network model was developed to simulate dynamic gas flow, and to describe the transient properties of flow regimes. The proposed pore network model accounts for the various size distributions and low connectivity of shale pores. The pore size, pore throat size and coordination number obey normal distribution, and the average values can be obtained from shale reservoir data. The gas flow regimes were simulated using an extracted pore network backbone. The numerical results show that apparent permeability is strongly dependent on pore pressure in the reservoir and pore throat size, which is overestimated by low-pressure laboratory tests. With the decrease of reservoir pressure, viscous flow is weakening, then slip flow and Knudsen diffusion are gradually becoming dominant flow regimes. The fingering phenomenon can be predicted by micro/nano-pore network for gas flow, which provides an effective way to capture heterogeneity of shale gas reservoir. Nature Publishing Group 2015-08-27 /pmc/articles/PMC4642512/ /pubmed/26310236 http://dx.doi.org/10.1038/srep13501 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhang, Pengwei Hu, Liming Meegoda, Jay N. Gao, Shengyan Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix |
title | Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix |
title_full | Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix |
title_fullStr | Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix |
title_full_unstemmed | Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix |
title_short | Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix |
title_sort | micro/nano-pore network analysis of gas flow in shale matrix |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642512/ https://www.ncbi.nlm.nih.gov/pubmed/26310236 http://dx.doi.org/10.1038/srep13501 |
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