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 • Previous Articles     Next Articles

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

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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