西南石油大学学报(自然科学版) ›› 2003, Vol. 25 ›› Issue (2): 27-29.DOI: 10.3863/j.issn.1000-2634.2003.02.009

• 石油与天然气工程 • 上一篇    下一篇

神经优化计算模型求解油田开发中的优化问题

胡泽1 贾永禄2 晏建军3
  

  1. 1.西南石油学院电子信息工程学院,四川 南充 637001;2.西南石油学院石油工程学院;3.四川石油局测井公司数控测井分公司
  • 收稿日期:2002-04-17 修回日期:1900-01-01 出版日期:2003-04-20 发布日期:2003-04-20
  • 通讯作者: 胡泽

SOLVING PROGRAMMING PROBLEMS OF OILFIELD EXPLOITATION BY NEURAL NETWORK OPTIMIZATION COMPUTATION MODEL

HU Ze1 JIA Yong-lu2 YAN Jan-jun3
  

  1. Southwest Petroleum Institute,Nanchong Sichuan 637001,China
  • Received:2002-04-17 Revised:1900-01-01 Online:2003-04-20 Published:2003-04-20
  • Contact: HU Ze

摘要: 阐述了线性优化计算和非线性优化计算的神经网络模型,该模型可以在电路时间常数数量级(几百纳秒)内求解复杂的优化问题,且能克服一般数学理论求解优化问题的缺点。之后对油田开发中使用典型曲线自动拟合产量衰减曲线进行了分析,并讨论了油田开发规划模型的建立与求解,并论证这些优化问题可以由神经优化计算模型来实现。

关键词: 神经网络, 优化计算, 油田开发规划, 产量预测

Abstract: A linear neural network optimization computation model and a nonlinear neural network optimization computation model were presented in this paper. This model can solve complicated optimization problems in hundreds of nanoseconds, and can overcome some disadvantages of solving optimization problem by mathematical theory. Then the method of typical curve auto-
matic fitting production decreasing curve was analyzed, and solving oil field exploitation programming model was discussed.At last, solving this optimization problem can be realized by optimization computation neural network model.

Key words: optimization computation, oil field exploitation programming, artificial neural network, production prediction

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