An intelligent integrated production optimization technique for waterflooding reservoirs
The production optimization in the closed-loop reservoir management is generally empirical, and challenged by the issues such as low precision, low efficiency, and difficulty in solving constrained optimization problems. This paper outlines the main principles, advantages and disadvantages of common...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-06-01
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| Series: | Petroleum Exploration and Development |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S187638042560601X |
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| _version_ | 1850121646078164992 |
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| author | Yong LI Lixia ZHANG Yihang CHEN Dandan HU Ruicheng MA Shu WANG Qianyao LI Dawang LIU |
| author_facet | Yong LI Lixia ZHANG Yihang CHEN Dandan HU Ruicheng MA Shu WANG Qianyao LI Dawang LIU |
| author_sort | Yong LI |
| collection | DOAJ |
| description | The production optimization in the closed-loop reservoir management is generally empirical, and challenged by the issues such as low precision, low efficiency, and difficulty in solving constrained optimization problems. This paper outlines the main principles, advantages and disadvantages of commonly used production optimization methods/models, and then proposes an intelligent integrated production optimization method for waterflooding reservoirs that considers efficiency and precision, real-time and long-term effects, and the interaction and synergy between a variety of optimization models. This method integrates multiple optimization methods/models, such as reservoir performance analysis, reduced-physics models, and reservoir numerical models, with these model results and insights organically coupled to facilitate model construction and matching. This proposed method is elucidated and verified by field examples. The findings indicate that the optimal production optimization model varies depending on the specific application scenario. Reduced-physics models are conducive to short-term real-time optimization, whereas the simulator-based surrogate optimization and streamline-based simulation optimization methods are more suitable for long-term optimization strategy formulation, both of which need to be implemented under reasonable constraints from the perspective of reservoir engineering in order to be of practical value. |
| format | Article |
| id | doaj-art-5b1dd56e430d4f7ea541ca8b00036695 |
| institution | OA Journals |
| issn | 1876-3804 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Petroleum Exploration and Development |
| spelling | doaj-art-5b1dd56e430d4f7ea541ca8b000366952025-08-20T02:35:03ZengKeAi Communications Co., Ltd.Petroleum Exploration and Development1876-38042025-06-0152375977810.1016/S1876-3804(25)60601-XAn intelligent integrated production optimization technique for waterflooding reservoirsYong LI0Lixia ZHANG1Yihang CHEN2Dandan HU3Ruicheng MA4Shu WANG5Qianyao LI6Dawang LIU7PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China; Corresponding authorPetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, ChinaPetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, ChinaPetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, ChinaPetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, ChinaPetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, ChinaPetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, ChinaPetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, ChinaThe production optimization in the closed-loop reservoir management is generally empirical, and challenged by the issues such as low precision, low efficiency, and difficulty in solving constrained optimization problems. This paper outlines the main principles, advantages and disadvantages of commonly used production optimization methods/models, and then proposes an intelligent integrated production optimization method for waterflooding reservoirs that considers efficiency and precision, real-time and long-term effects, and the interaction and synergy between a variety of optimization models. This method integrates multiple optimization methods/models, such as reservoir performance analysis, reduced-physics models, and reservoir numerical models, with these model results and insights organically coupled to facilitate model construction and matching. This proposed method is elucidated and verified by field examples. The findings indicate that the optimal production optimization model varies depending on the specific application scenario. Reduced-physics models are conducive to short-term real-time optimization, whereas the simulator-based surrogate optimization and streamline-based simulation optimization methods are more suitable for long-term optimization strategy formulation, both of which need to be implemented under reasonable constraints from the perspective of reservoir engineering in order to be of practical value.http://www.sciencedirect.com/science/article/pii/S187638042560601Xproduction optimizationreservoir managementreduced-physics modelsurrogate optimizationstreamline-based simulationnumerical simulation |
| spellingShingle | Yong LI Lixia ZHANG Yihang CHEN Dandan HU Ruicheng MA Shu WANG Qianyao LI Dawang LIU An intelligent integrated production optimization technique for waterflooding reservoirs Petroleum Exploration and Development production optimization reservoir management reduced-physics model surrogate optimization streamline-based simulation numerical simulation |
| title | An intelligent integrated production optimization technique for waterflooding reservoirs |
| title_full | An intelligent integrated production optimization technique for waterflooding reservoirs |
| title_fullStr | An intelligent integrated production optimization technique for waterflooding reservoirs |
| title_full_unstemmed | An intelligent integrated production optimization technique for waterflooding reservoirs |
| title_short | An intelligent integrated production optimization technique for waterflooding reservoirs |
| title_sort | intelligent integrated production optimization technique for waterflooding reservoirs |
| topic | production optimization reservoir management reduced-physics model surrogate optimization streamline-based simulation numerical simulation |
| url | http://www.sciencedirect.com/science/article/pii/S187638042560601X |
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