Novel Self-Adaptive Shale Gas Production Proxy Model and Its Practical Application.

ABSTRACT: Recently, production optimization has gained increasing interest in the petroleum industry. The most computationally intensive and critical part of the production optimization process is the evaluation of the production function performed by the numerical reservoir simulator. Employing proxy models as a substitute for the reservoir simulator is proposed for alleviating this high computational cost. In this study, a new approach to construct adaptive proxy models for production optimization problems is proposed. An adaptive difference evolution algorithm (SaDE) optimized least-squares support vector machine (LSSVM) is used as an approximation function, while training is performed using a self-adaptive response surface experimental design (SaRSE). SaDE selects the optimal hyperparameters of

SUBMITTER: Qiao L 

PROVIDER: S-EPMC8928338 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature