油田开发规划多目标不确定性优化模型及其应用  

Multi-objective uncertainty optimization model of oilfield development planning and its application

作　　者：王志新[1] WANG Zhixin(Exploration and Development Research Institute of Daqing Oilfield Co Ltd, Daqing 163712, China)

机构地区：[1]大庆油田有限责任公司勘探开发研究院,黑龙江大庆163712

出　　处：《大庆石油地质与开发》2020年第5期86-90,共5页Petroleum Geology & Oilfield Development in Daqing

基　　金：国家科技重大专项“大庆长垣特高含水油田提高采收率示范工程”(2016ZX05054)。

摘　　要：随着油田驱替方式多样化、油藏类型复杂化,传统的开发规划编制技术无法实现对规划编制各个技术领域、多项措施工作量整体系统优化部署。通过分析油田开发的特性以及随机不确定因素的影响,以“措施工作量”为系统的决策变量,建立了产量目标概率最大化、最小化成本费用期望、最大化新增可采储量等多目标随机优化模型,并设计智能算法进行求解,对油田中长期发展作出优化部署,为油田开发决策提供技术支撑。With the diversification of oilfield displacement modes and the complexity of oil reservoir types,The traditional development planning technology cannot realize the optimal arrangements of the whole system of different technical fields and workloads of multiple measures.With the help of the analyses of the characteristics of oilfield development and the influence of random uncertain factor,taking“workloads of measures”as the decision variable of the system,the multiple-objective stochastic optimization model was established,such as maximizing the probability of production target,minimizing the expectation of cost and expense and maximizing the new recoverable reserves,meanwhile the intelligent algorithm was designed to solved it.Based on the above research,the optimized arrangement was made for the mid-long term oilfield development,and finally the technical support was provided for the oilfield development decision.

关 键 词：多目标规划 不确定性优化模型 智能算法 

分 类 号：TE32[石油与天然气工程—油气田开发工程]