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

doi:10.3863/j.issn.1000-2634.1997.04.022

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 • Previous Articles Next Articles

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

CAO Xie-dong CHEN Ming-qiang et al.

Department of Petroleum Engineering SWPI, Sichuan 637001

Received:1997-09-05 Revised:1900-01-01 Online:1997-11-20 Published:1997-11-20

Abstract

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

CLC Number:

TE319

CAO Xie-dong CHEN Ming-qiang et al.. Assisted Expert System for Mixed Reservoirs Numerical Simulation based on Factor Neural Network[J]. 西南石油大学学报(自然科学版), 1997, 19(4): 112-116.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.3863/j.issn.1000-2634.1997.04.022

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

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