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基于差分进化算法的油田开发二层规划模型求解及应用
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  • 英文篇名:The Solution and Application of a Bi-level Oilfield Development Programming Model Based on Differential Evolution Algorithm
  • 作者:侯春华
  • 英文作者:HOU Chunhua;Research Institute of Exploration and Development,Shengli Oilfield Company;
  • 关键词:油田开发规划 ; 二层优化 ; 差分进化算法 ; 混合算法
  • 英文关键词:oilfield development programming;;bi-level optimization;;differential evolution algorithm;;hybrid algorithm
  • 中文刊名:SCSD
  • 英文刊名:Journal of Sichuan Normal University(Natural Science)
  • 机构:中国石化胜利油田分公司勘探开发研究院;
  • 出版日期:2019-03-20
  • 出版单位:四川师范大学学报(自然科学版)
  • 年:2019
  • 期:v.42
  • 基金:国家科技重大专项“特高含水后期整装油田延长经济寿命期开发技术”(2016ZX0511-001)
  • 语种:中文;
  • 页:SCSD201902021
  • 页数:8
  • CN:02
  • ISSN:51-1295/N
  • 分类号:131-138
摘要
建立同时受投资、产量目标和施工能力等约束的油田开发二层优化模型以获得最大收益.在该模型中,油田公司(上层)进行整体规划,并将投资分配给不同的开发板块(下层).下层根据投资约束和产量约束制定各自的开发规划,然后反馈给上层.由于该模型是一个混合整数非线性规划问题,故采用差分进化算法,结合有效集方法和隐枚举法对其进行求解.最后,将所建立的模型应用于我国东部某油田的"十三五"开发规划中,获得了符合该油田实际情况的最优开发规划.
        A bi-level optimization model is constructed with the constrained investment and production tasks for the oilfield development in this paper to get the maximal benefit. In this model,the oil company( upper level) makes the global programming and assigns the allocated investments to four oilfield development modes( lower levels). The lower levels make their own optimized development plans according to the tasks and the investment constraints,then give feedback to the upper level. This model is a mixed integer nonlinear programming problem,which involves integer-valued and real-valued variables. The Differential Evolution algorithm is employed to obtain the solution by combining with the active set method and the implicit enumeration method. A practical example from an oilfield in East China is used to illustrate the application of the method for "the 13th Five-year Plan".
引文
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