PDF
Full
Outline
Production optimization is a key component of closed-loop reservoir management, aimed at maximizing economic benefits by fully exploiting reservoir potential through the identification of optimal injection and production parameter schemes. The use of numerical simulators during the search for the optimal solution significantly increases time costs, making it challenging to rapidly determine the best scheme, despite its important engineering implications. An objective function for production optimization in waterflood reservoirs was constructed based on factors such as the reservoir numerical simulation model, optimized time steps, production and injection well control strategies, reservoir responses, and cost and profit parameters. Research was conducted on the method of using surrogate models to replace numerical simulators in production optimization, based on sampling criteria for the surrogate model. In order to address the lack of physical significance in surrogate models and the difficulty in achieving the same precision as numerical simulators during optimization, a relationship for an ensemble surrogate model was established. Validation results on two reservoir models, three-channel and Egg, show that the proposed ensemble surrogate model optimization method improves economic benefits by 4.81% and 4.75% respectively, compared to conventional optimization methods across all tested reservoir models. In order to verify the application effect of the proposed method in the actual oilfield field management scenario, the Bruges oilfield is taken as an example to carry out the test. The proposed integrated agent model optimization method can increase the economic benefit by 2.45% compared with the conventional optimization method. This proves that the proposed method can achieve satisfactory results in solving the problem of injection and production optimization in large-scale reservoirs.
PDF
296
152
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
