A mathematical model for estimating effective stimulated reservoir volume
This study presents a model application for the evaluation of Effective Stimulated Reservoir Volume (ESRV) in shale gas reservoirs. This current model is faster, cheaper, and readily available for estimating ESRV compared to previously published models. Key controlling parameters for efficient ESRV...
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Springer Science and Business Media Deutschland GmbH
2021
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my.utp.eprints.293562022-03-25T01:34:37Z A mathematical model for estimating effective stimulated reservoir volume Ibrahim, A.U. Negash, B.M. Rahman, M.T. Suleiman, A. Kwaku, D.D. This study presents a model application for the evaluation of Effective Stimulated Reservoir Volume (ESRV) in shale gas reservoirs. This current model is faster, cheaper, and readily available for estimating ESRV compared to previously published models. Key controlling parameters for efficient ESRV modeling, including geomechanical parameters and time, are considered for the model development. The model was validated for both single and multi-stage fractured reservoirs. For the single fractured reservoir, an ESRV of 3.07 � 106 ft3 was estimated against 3.99 � 106 ft3 of ESRV-FEM field data. Whereas, 7.00 � 109 ft3 ESRV was estimated from the multi-stage fractured reservoir against 7.90 � 109 ft3 of fractal-based model results. Stress dependence, time dependence, and permeability dependence of shale gas reservoirs are found to be essential parameters for the successful calculation of ESRV in reservoirs. An ESRV determined using this method can obtain the estimated ultimate recovery, propped volume, optimal fracture length, and spacing in fractured shale gas reservoirs. © 2021, The Author(s). Springer Science and Business Media Deutschland GmbH 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120620738&doi=10.1007%2fs13202-021-01389-7&partnerID=40&md5=d36ae5dfb3e8487e96fc01baca237124 Ibrahim, A.U. and Negash, B.M. and Rahman, M.T. and Suleiman, A. and Kwaku, D.D. (2021) A mathematical model for estimating effective stimulated reservoir volume. Journal of Petroleum Exploration and Production Technology . http://eprints.utp.edu.my/29356/ |
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This study presents a model application for the evaluation of Effective Stimulated Reservoir Volume (ESRV) in shale gas reservoirs. This current model is faster, cheaper, and readily available for estimating ESRV compared to previously published models. Key controlling parameters for efficient ESRV modeling, including geomechanical parameters and time, are considered for the model development. The model was validated for both single and multi-stage fractured reservoirs. For the single fractured reservoir, an ESRV of 3.07 � 106 ft3 was estimated against 3.99 � 106 ft3 of ESRV-FEM field data. Whereas, 7.00 � 109 ft3 ESRV was estimated from the multi-stage fractured reservoir against 7.90 � 109 ft3 of fractal-based model results. Stress dependence, time dependence, and permeability dependence of shale gas reservoirs are found to be essential parameters for the successful calculation of ESRV in reservoirs. An ESRV determined using this method can obtain the estimated ultimate recovery, propped volume, optimal fracture length, and spacing in fractured shale gas reservoirs. © 2021, The Author(s). |
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Ibrahim, A.U. Negash, B.M. Rahman, M.T. Suleiman, A. Kwaku, D.D. |
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Ibrahim, A.U. Negash, B.M. Rahman, M.T. Suleiman, A. Kwaku, D.D. A mathematical model for estimating effective stimulated reservoir volume |
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Ibrahim, A.U. Negash, B.M. Rahman, M.T. Suleiman, A. Kwaku, D.D. |
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Ibrahim, A.U. |
title |
A mathematical model for estimating effective stimulated reservoir volume |
title_short |
A mathematical model for estimating effective stimulated reservoir volume |
title_full |
A mathematical model for estimating effective stimulated reservoir volume |
title_fullStr |
A mathematical model for estimating effective stimulated reservoir volume |
title_full_unstemmed |
A mathematical model for estimating effective stimulated reservoir volume |
title_sort |
mathematical model for estimating effective stimulated reservoir volume |
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Springer Science and Business Media Deutschland GmbH |
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2021 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120620738&doi=10.1007%2fs13202-021-01389-7&partnerID=40&md5=d36ae5dfb3e8487e96fc01baca237124 http://eprints.utp.edu.my/29356/ |
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