产能建设项目两目标优化模型及改进的蚁群求解算法  

TWO-TARGET OPTIMIZATION MODEL AND IMPROVED ANT COLONY RESOLVING ALGORITHMS FOR THE PRODUCTIVITY CONSTRUCTION PROJECT

作　　者：王武[1,2] 常毓文[3] 曲德斌[3] 李丰[3] 

机构地区：[1]中国地质大学,北京100083 [2]中国石油天然气集团公司规划计划部,北京100007 [3]中国石油勘探开发研究院,北京100083

出　　处：《大庆石油地质与开发》2010年第3期84-88,共5页Petroleum Geology & Oilfield Development in Daqing

基　　金：国家重大专项“我国大油气区分布、富集规律与重点目标区评价”（编号：2008ZX05043-001）资助.

摘　　要：为了解决油田开发产能建设项目优化研究中存在的问题，以油气开发产能建设项目组合的净现值为收益目标，以万吨产能投资为投资效率目标，建立了多约束条件下的产能建设项目的两目标优化模型。针对建立的模型，研究了基于多目标优化最优解集的改进蚁群优化算法，该算法能高效、准确的求解所建立的模型。实际应用表明，所建立的模型及改进求解方法具有很好的实用性和可操作性，能从收益和投资效率两个角度为油气开发投资决策提供有力的决策依据。In order to solve the problems resulted from productivity construction projects optimization during the oilfield development the two-target optimization model for productivity construction project is established under multi-constraint conditions for the income goal of the net present value of productivity construction project and for the investment efficiency aim of ten thousand ton productivity investment. According to the established model, the improved ant colony algorithms are researched based on multi-target optimization, which can compute the established model with high efficiency and accuracy. The results shows that the established model and improved algorithms possess perfect practicability and maneuverability which can provide the decision evidence for the investment decision of development from income and investment efficiency.

关 键 词：产能建设 项目组合 收益 投资效率 万吨产能投资 两目标 蚁群算法 PARETO前沿 

分 类 号：TE322[石油与天然气工程—油气田开发工程]