石油学报 ›› 2008, Vol. 29 ›› Issue (3): 427-430.DOI: 10.7623/syxb200803022

• 油田开发 • 上一篇    下一篇

油气田开发产能建设项目的收益—风险目标优化模型

李丰, 常毓文, 杨仕敏, 陈新彬, 曲德斌   

  1. 中国石油勘探开发研究院 北京 100083
  • 收稿日期:2007-07-22 修回日期:2007-09-23 出版日期:2008-05-25 发布日期:2010-05-21
  • 作者简介:李丰,女,1978年10月生,2005年获北京航空航天大学硕士学位,现为中国石油勘探开发研究院工程师,主要从事石油生产规划计划研究工作.E-mail:lifeng1027@petrochina.com.cn
  • 基金资助:
    中国石油天然气集团公司"十一五"科技攻关项目(06-06D-01-06-04)资助.

Research on income—risk objective optimization model for oil-gas productivity investment projects

LI Feng, CHANG Yuwen, YANG Shimin, CHEN Xinbin, QU Debin   

  1. PetroChina Exploration and Development Research Institute, Beijing 100083, China
  • Received:2007-07-22 Revised:2007-09-23 Online:2008-05-25 Published:2010-05-21

摘要: 针对油气田开发中产能建设项目高投资、高风险的特点,以项目组合的收益和风险为优化目标,建立了多约束条件下的项目组合收益-风险目标优化模型.在此基础上,研究了基于多目标优化最优解集的混合遗传算法,该算法成功收敛于模型的最优解集.实际应用表明:所建立的模型及其求解方法具有很好的实用性和可操作性,能从风险和收益两方面为油气田开发投资决策提供有力的依据.

关键词: 油气田开发, 产能建设, 收益-风险目标优化模型, 混合遗传算法, 最优解

Abstract: The characteristics of high investment and high risk in oil-gas productivity investment projects were discussed.A mathematical model,taking income and risk as optimization target under the multiple restriction conditions was built.A mixed genetic algorithm based on multi-target optimum solution was presented.This algorithm could solve the mathematical model effectively by presenting its solution front.Application case shows that this model and its solving method are easily operated and can provide decision basis in the fields of risk and income for oil-gas productivity investment projects.

Key words: oil-gas production, productivity investment, project income-risk objective optimization model, mixed genetic algorithm, optimization solution

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