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Production-Performance Analysis of Composite Shale-Gas Reservoirs by the Boundary-Element Method

Minglu Wu, Mingcai Ding, Jun Yao, Chenfeng Li Orcid Logo, Zhaoqin Huang, Sinan Xu

SPE Reservoir Evaluation & Engineering, Volume: 22, Issue: 01, Pages: 238 - 252

Swansea University Author: Chenfeng Li Orcid Logo

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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...

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Published in: SPE Reservoir Evaluation & Engineering
ISSN: 1094-6470
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa50311
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spelling 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
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title 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
document_store_str 0
active_str 0
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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score 11.035634