新疆石油地质

新疆石油地质 ›› 2005, Vol. 26 ›› Issue (1): 80-82.

• 油藏工程 • 上一篇    下一篇

遗传算法在优化油田开发中的应用

李晓明1,2, 张烈辉3, 周宏4   

  1. 1.西南石油学院 博士后流动站,成都 610500;
    2.中国石化 西南分公司博士后工作站,成都 610081;
    3.西南石油学院 油气藏地质及开发工程国家重点实验室,成都 610500;
    4.中国石油 西南油气田分公司 蜀南气矿,四川 泸州 646001
  • 收稿日期:2004-05-17 出版日期:2005-02-01 发布日期:2020-08-24
  • 作者简介:李晓明(1976-),男,四川泸州人,博士,油气田开发, (Tel)028-83032581.
  • 基金资助:
    高等学校优秀青年教师教学科研奖励计划(TRAPOYT)资助。

Application of Genetic Algorithm to Optimized Oilfield Development

LI Xiao-ming1,2, ZHANG Lie-hui3, ZHOU Hong4   

  1. 1. Postdoctoral Programme, Southwest Petroleum Institute, Chengdu, Sichuan 610500, China;
    2. Postdoctoral Programme, Southwest Corporation, Sinopec, Chengdu, Sichuan 610081, China;
    3. State Key Laboratory of Reservoir Geology and Development Engineering,Southwest Petroleum Institute, Chengdu, Sichuan 610500, China;
    4. Shunan Gas Field, Southwest Oil-Gas Field Company, PetroChina, Luzhou, Sichuan 646001, China
  • Received:2004-05-17 Online:2005-02-01 Published:2020-08-24

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摘要： 常规优化技术由于不能很好地处理多变量优化问题及目标函数可能不连续、不可微,而不被采用,而通常所采用的规则井网布井方式又缺乏灵活性、风险性较大。针对这一问题将遗传算法应用于优化油田布井当中,以使油田获得最大累积产量为目标对油井位置进行了优化，同时以使油田获得最高经济效益为目标对井数进行了优化,取得了一定成果。

关键词: 遗传算法, 最优化, 布井, 累积产量, 净现值

Abstract: Conventional optimizing techniques are often not adopted due to being unable to properly deal with muli-variable optimization and due to possibly discontinuous and non-differentiable objective function. Also, regular well patterns appear to be more risky to use for lacking of flexibility. In view of these issues, this paper suggests that genetic algorithm can be applied for well pattern and well number optimizations in order to get maximum cumulative production and best economic benefits. Study shows that this technique is certain of effectivity.

Key words: genetic algorithm, optimization, well pattem, cumulative production, net present value(NPV)

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