Integrated Workflow of Geomechanics, Hydraulic Fracturing, and Reservoir Simulation for Production Estimation of a Shale Gas Reservoir
In this research, an integrated workflow from geomechanics to reservoir simulation is suggested to accurately estimate performances of a shale gas reservoir. Rather than manipulating values of hydraulic fracturing such as fracture geometry and transmissibility, the workflow tries to update model par...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/8856070 |
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| _version_ | 1832550471406977024 |
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| author | Taeyeob Lee Daein Jeong Youngseok So Daejin Park Munseok Baek Jonggeun Choe |
| author_facet | Taeyeob Lee Daein Jeong Youngseok So Daejin Park Munseok Baek Jonggeun Choe |
| author_sort | Taeyeob Lee |
| collection | DOAJ |
| description | In this research, an integrated workflow from geomechanics to reservoir simulation is suggested to accurately estimate performances of a shale gas reservoir. Rather than manipulating values of hydraulic fracturing such as fracture geometry and transmissibility, the workflow tries to update model parameters to derive reliable hydraulic fracturing results. A mechanical earth model (MEM) is built from seismic attribute and drilling and diagnostic fracture injection test results. Then, the MEM is calibrated with microseismic measurements obtained in a field. Leakoff coefficient and horizontal stress anisotropy are sensitive parameters of the MEM that influence the propagation of the fracture network and gas productions. Various combinations of calibration parameters from a single-well simulation are evaluated. Then, an appropriate combination is chosen from the whole simulation results of a pad to reduce the uncertainty. Finally, production estimations of the four wells which have slightly different fracture design are compared with seven-year production history. Their results are reasonably matched with actual data having 8% of global error due to successful development of the reservoir model with geomechanical parameters. |
| format | Article |
| id | doaj-art-224d0b61532a4509aa4617914a9c952a |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-224d0b61532a4509aa4617914a9c952a2025-02-03T06:06:40ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/88560708856070Integrated Workflow of Geomechanics, Hydraulic Fracturing, and Reservoir Simulation for Production Estimation of a Shale Gas ReservoirTaeyeob Lee0Daein Jeong1Youngseok So2Daejin Park3Munseok Baek4Jonggeun Choe5E&P Research Center, Korea Gas Corporation, 41062, Republic of KoreaSchlumberger Information Solutions, Schlumberger, 103-0027, JapanE&P Research Center, Korea Gas Corporation, 41062, Republic of KoreaE&P Research Center, Korea Gas Corporation, 41062, Republic of KoreaE&P Research Center, Korea Gas Corporation, 41062, Republic of KoreaDepartment of Energy System Engineering, Seoul National University, 08826, Republic of KoreaIn this research, an integrated workflow from geomechanics to reservoir simulation is suggested to accurately estimate performances of a shale gas reservoir. Rather than manipulating values of hydraulic fracturing such as fracture geometry and transmissibility, the workflow tries to update model parameters to derive reliable hydraulic fracturing results. A mechanical earth model (MEM) is built from seismic attribute and drilling and diagnostic fracture injection test results. Then, the MEM is calibrated with microseismic measurements obtained in a field. Leakoff coefficient and horizontal stress anisotropy are sensitive parameters of the MEM that influence the propagation of the fracture network and gas productions. Various combinations of calibration parameters from a single-well simulation are evaluated. Then, an appropriate combination is chosen from the whole simulation results of a pad to reduce the uncertainty. Finally, production estimations of the four wells which have slightly different fracture design are compared with seven-year production history. Their results are reasonably matched with actual data having 8% of global error due to successful development of the reservoir model with geomechanical parameters.http://dx.doi.org/10.1155/2021/8856070 |
| spellingShingle | Taeyeob Lee Daein Jeong Youngseok So Daejin Park Munseok Baek Jonggeun Choe Integrated Workflow of Geomechanics, Hydraulic Fracturing, and Reservoir Simulation for Production Estimation of a Shale Gas Reservoir Geofluids |
| title | Integrated Workflow of Geomechanics, Hydraulic Fracturing, and Reservoir Simulation for Production Estimation of a Shale Gas Reservoir |
| title_full | Integrated Workflow of Geomechanics, Hydraulic Fracturing, and Reservoir Simulation for Production Estimation of a Shale Gas Reservoir |
| title_fullStr | Integrated Workflow of Geomechanics, Hydraulic Fracturing, and Reservoir Simulation for Production Estimation of a Shale Gas Reservoir |
| title_full_unstemmed | Integrated Workflow of Geomechanics, Hydraulic Fracturing, and Reservoir Simulation for Production Estimation of a Shale Gas Reservoir |
| title_short | Integrated Workflow of Geomechanics, Hydraulic Fracturing, and Reservoir Simulation for Production Estimation of a Shale Gas Reservoir |
| title_sort | integrated workflow of geomechanics hydraulic fracturing and reservoir simulation for production estimation of a shale gas reservoir |
| url | http://dx.doi.org/10.1155/2021/8856070 |
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