油气地质与采收率2025，Vol.32Issue(2)：152-162,11.DOI:10.13673/j.pgre.202310009
融合自适应变异策略与差分进化算法的油藏自动历史拟合方法
Automatic reservoir history matching method based on adaptive mutation strategy and differential evolution algorithm
摘要
Abstract
As a classical evolution algorithm,the differential evolution algorithm has the advantages of global search ability,easy implementation,and no gradient.It has been widely used in automatic reservoir history matching.However,the setting of param-eters in the algorithm has a significant influence on the result of history matching,and there is convergence stagnation in high-dimensional problems.In order to solve the above problems,an automatic reservoir history matching algorithm was proposed based on the adaptive mutation strategy and differential evolution algorithm.Firstly,based on the principal component analysis method,the high-dimensional parameters of the reservoir model were reduced,and the reduced parameters were used as the parameters ad-justed in the differential evolution algorithm to compress the search space of the variables and improve the search efficiency of the algorithm.Secondly,based on the adaptive mutation strategy and differential evolution algorithm,the historical experience in the search process of the algorithm was used to guide the update of the current population.When the individual of the population stopped converging,the mutation strategy of the differential evolution algorithm was switched to change the iterative update mode of the population to avoid the situation that the reservoir parameters stopped optimization and adjustment.In addition,to make the updated model parameters consistent with the prior distribution characteristics,the quantile transformation strategy was applied to transform the distribution of the updated parameters,and the data of non-Gaussian distribution was transformed into Gaussian distri-bution so that the updated model was more in line with the constraints of the actual geological parameters.The proposed algorithm was tested and verified on a three-dimensional reservoir model.The results show that compared with the traditional differential evo-lution algorithm framework,the improved differential evolution algorithm can improve the convergence effect of the history match-ing solution,and the inverted reservoir model parameters are more in line with the actual geological characteristics.Under the same calculation conditions,a better history matching model can be obtained,and the data matching effect is more significant.关键词
油藏数值模拟/自动历史拟合/差分进化算法/自适应方法/分位数变换Key words
numerical simulation of reservoir/automatic history matching/differential evolution algorithm/adaptive method/quan-tile transformation分类
能源科技引用本文复制引用
张金鼎,张凯,张黎明,刘丕养,陈旭..融合自适应变异策略与差分进化算法的油藏自动历史拟合方法[J].油气地质与采收率,2025,32(2):152-162,11.基金项目
国家自然科学基金项目"油藏开发智能实时优化"(52325402),"基于强化学习的离线-在线交互式油藏开发生产实时优化方法"(52274057),"基于迁移学习的油藏开发注采优化方法研究"(52074340),"基于电磁支撑剂的水力压裂裂缝监测理论与方法"(51874335) （52325402）
国家重点研发计划"CO2驱油及封存安全监测技术"(2023YFB4104200) （2023YFB4104200）
中国海油重大科技项目"基于代理模型的海上油藏智能注采流场实时调控优化方法研究"(CCL2022RCPS0397RSN). （CCL2022RCPS0397RSN）
