Using Artificial Nerve Network to Calculate the Flow Coefficient of pay Zone

Xinjiang Petroleum Geology ›› 2001, Vol. 22 ›› Issue (1): 66-67.

Using Artificial Nerve Network to Calculate the Flow Coefficient of pay Zone

YANG Qingjun, DENG Chunchen, WANG Chen

Received:2000-01-18 Online:2001-02-01 Published:2020-08-13
About author:YANG Qingjun (1973-) Male, Master Degree, Oil-Gas Field Development, Petroleum Department, China University of Geoscience, Wuhan, Hubei 430074, China

Abstract

Abstract: Flow coefficient is an important index for productivity evaluation. The author take advantage of the selfs unable and self-education features possessed by the artificial nerve network,combined such network with other routine data of well-logging, well-testing, etc., for pay zone evaluation, and good results have been achieved.

Key words: flow coefficient, oil formation, evaluation, artificial intelligence, nerve network

CLC Number:

TE311

YANG Qingjun, DENG Chunchen, WANG Chen. Using Artificial Nerve Network to Calculate the Flow Coefficient of pay Zone[J]. Xinjiang Petroleum Geology, 2001, 22(1): 66-67.

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Using Artificial Nerve Network to Calculate the Flow Coefficient of pay Zone

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