西南石油大学学报(自然科学版) ›› 1997, Vol. 19 ›› Issue (4): 112-116.DOI: 10.3863/j.issn.1000-2634.1997.04.022

• 计算机应用、管理科学 • 上一篇    下一篇

基于因素神经网络的混合型油藏数模辅助专家系统

曹谢东 陈明强 黄纯国 赵刚
  

  1. 西南石油学院石油工程系,四川南充637001
  • 收稿日期:1997-09-05 修回日期:1900-01-01 出版日期:1997-11-20 发布日期:1997-11-20

Assisted Expert System for Mixed Reservoirs Numerical Simulation based on Factor Neural Network

CAO Xie-dong CHEN Ming-qiang et al.   

  1. Department of Petroleum Engineering SWPI, Sichuan 637001
  • Received:1997-09-05 Revised:1900-01-01 Online:1997-11-20 Published:1997-11-20

摘要: 介绍一种基于因素神经网络的混合型知识模式,在油藏数值模拟历史拟合辅助专家系统中
的实现,体现了用多种人工智能手段协同解决复杂问题这一主流技术的应用。介绍系统的功能和分布式CLIENT/SERVER工作环境。分析问题的复杂性,提出相应的知识表示和混合推理模式(树型,解析型和模拟型因素神精网络)等问题求解策略。并描述了推理机制和知识库结构。

关键词: 神经网络, 油藏数值模拟, 系统, 决策方法

Abstract:

This paper presents a method to realize the mixing knowledge model based on the factor neural network on the history matching of reservoir simulation. It reflects a use of main technique solving complex problem with multi artificial intelligence methods. Some functions of the system and the working environment of CLIENT/SERVER distribution are given. The complexibility of the problem are analyzed. Some tactics are put forward to solve the problems about theses knowledge representations and the mixing inference models (tree, analytic and simulation inference model), some inference mechanisms and knowledge structures are described.

Key words: Neural network, Rservoir Numerical Simulation, System, Decision-making metho

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