期刊
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
卷 194, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.petrol.2020.107441
关键词
Production optimization; Nonlinear state constraint; Differential evolution; Surrogate model; Radial basis function (RBF)
资金
- National Natural Science Foundation of China [51722406, 51674280, 51874335]
- Shandong Provincial Natural Science Foundation [JQ201808, ZR2019JQ21]
- Major Scientific and Technological Projects of CNPC [ZD2019-183-008]
- Science and Technology Support Plan for Youth Innovation of University in Shandong Province [2019KJH002]
- National Science and Technology Major Project of China [2016ZX05025001-006]
In recent years, evolutionary computation (EC) has gained increasing attention in the field of production optimization due to its powerful global search ability and derivative-free characteristic. However, state constraints are much more challenging to handle in comparison with the explicit constraints. To alleviate this difficulty, this paper presents a framework called surrogate-assisted differential evolution with an effective constraint-handling technique-the feasibility rule with the incorporation of objective function information (SADE-FROFI). The novel constraint-handling technique used in this work achieves an effective balance between constraints and objective function by revising the well-known feasibility rule (FR), which can effectively maintain the diversity of population and help the population jump out of local optimal solution. Moreover, to address the computationally time-consuming issue of numerical simulator, a multi-surrogate strategy is introduced specially for state constraints. Two benchmark functions are tested to verify the effectiveness of new constraint-handling technique (FROFI). The efficacy of the proposed method is validated on two synthetic reservoir models, named three-channel model and PUNQ-S3 model, respectively. The experimental results demonstrated that the proposed method can find better solutions on the basis of satisfying all constraints in comparison with several existing methods.
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