Journal article 1015 views
Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method
SPE Reservoir Evaluation & Engineering, Volume: 22, Issue: 01, Pages: 238 - 252
Swansea University Author: Chenfeng Li
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DOI (Published version): 10.2118/191362-PA
Abstract
A shale-gas reservoir with a multiple-fractured horizontal well (MFHW) is divided into two regions: The inner region is defined as stimulated reservoir volume (SRV), which is interconnected by the fracture network after fracturing, while the outer region is called unstimulated reservoir volume (USRV...
Published in: | SPE Reservoir Evaluation & Engineering |
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ISSN: | 1094-6470 |
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2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa50311 |
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2019-07-18T15:14:39.3356121 v2 50311 2019-05-10 Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method 82fe170d5ae2c840e538a36209e5a3ac 0000-0003-0441-211X Chenfeng Li Chenfeng Li true false 2019-05-10 CIVL A shale-gas reservoir with a multiple-fractured horizontal well (MFHW) is divided into two regions: The inner region is defined as stimulated reservoir volume (SRV), which is interconnected by the fracture network after fracturing, while the outer region is called unstimulated reservoir volume (USRV), which has not been stimulated by fracturing. Considering an arbitrary interface boundary between SRV and USRV, a composite model is presented for MFHWs in shale-gas reservoirs, which is based on multiple flow mechanisms, including adsorption/desorption, viscous flow, diffusive flow, and stress sensitivity of natural fractures. The boundary-element method (BEM) is applied to solve the production of MFHWs in shale-gas reservoirs. The accuracy of this model is validated by comparing its production solution with the result derived from an analytical method and the reservoir simulator. Furthermore, the practicability of this model is validated by matching the production history of the MFHW in a shale-gas reservoir. The result shows that the model in this work is reliable and practicable. The effects of relevant parameters on production curves are analyzed, including Langmuir volume, Langmuir pressure, hydraulic-fracture width, hydraulic-fracture permeability, natural-fracture permeability, matrix permeability, diffusion coefficient, stress-sensitivity coefficient, and the shape of the SRV. The model presented here can be used for production analysis for shale-gas-reservoir development. Journal Article SPE Reservoir Evaluation & Engineering 22 01 238 252 1094-6470 28 2 2019 2019-02-28 10.2118/191362-PA COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2019-07-18T15:14:39.3356121 2019-05-10T14:26:50.9725788 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Minglu Wu 1 Mingcai Ding 2 Jun Yao 3 Chenfeng Li 0000-0003-0441-211X 4 Zhaoqin Huang 5 Sinan Xu 6 |
title |
Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method |
spellingShingle |
Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method Chenfeng Li |
title_short |
Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method |
title_full |
Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method |
title_fullStr |
Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method |
title_full_unstemmed |
Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method |
title_sort |
Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method |
author_id_str_mv |
82fe170d5ae2c840e538a36209e5a3ac |
author_id_fullname_str_mv |
82fe170d5ae2c840e538a36209e5a3ac_***_Chenfeng Li |
author |
Chenfeng Li |
author2 |
Minglu Wu Mingcai Ding Jun Yao Chenfeng Li Zhaoqin Huang Sinan Xu |
format |
Journal article |
container_title |
SPE Reservoir Evaluation & Engineering |
container_volume |
22 |
container_issue |
01 |
container_start_page |
238 |
publishDate |
2019 |
institution |
Swansea University |
issn |
1094-6470 |
doi_str_mv |
10.2118/191362-PA |
college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
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description |
A shale-gas reservoir with a multiple-fractured horizontal well (MFHW) is divided into two regions: The inner region is defined as stimulated reservoir volume (SRV), which is interconnected by the fracture network after fracturing, while the outer region is called unstimulated reservoir volume (USRV), which has not been stimulated by fracturing. Considering an arbitrary interface boundary between SRV and USRV, a composite model is presented for MFHWs in shale-gas reservoirs, which is based on multiple flow mechanisms, including adsorption/desorption, viscous flow, diffusive flow, and stress sensitivity of natural fractures. The boundary-element method (BEM) is applied to solve the production of MFHWs in shale-gas reservoirs. The accuracy of this model is validated by comparing its production solution with the result derived from an analytical method and the reservoir simulator. Furthermore, the practicability of this model is validated by matching the production history of the MFHW in a shale-gas reservoir. The result shows that the model in this work is reliable and practicable. The effects of relevant parameters on production curves are analyzed, including Langmuir volume, Langmuir pressure, hydraulic-fracture width, hydraulic-fracture permeability, natural-fracture permeability, matrix permeability, diffusion coefficient, stress-sensitivity coefficient, and the shape of the SRV. The model presented here can be used for production analysis for shale-gas-reservoir development. |
published_date |
2019-02-28T04:01:44Z |
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1763753175836262400 |
score |
11.035634 |