APPLICATION OF FUZZY CLOSENESS DEGREE IN RESERVOIR RECOGNITION

doi:10.3863/j.issn.1000-2634.1999.04.013

西南石油大学学报(自然科学版) ›› 1999, Vol. 21 ›› Issue (4): 46-49.DOI: 10.3863/j.issn.1000-2634.1999.04.013

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APPLICATION OF FUZZY CLOSENESS DEGREE IN RESERVOIR RECOGNITION

FENG Guo-qing LI Yun TAN De-hui

Southwest Petroleum Inst

Received:1998-11-03 Revised:1900-01-01 Online:1999-11-20 Published:1999-11-20
Contact: FENG Guoqing

Abstract

Abstract: A neural network recognition method is established based on fuzzy closeness degree by combination of non-symmetric closeness degree in mathematics and neural network to overcome deviated interpretation which is resulted from losing information when tactics analysis is conducted by the maximum belonging rules in well logging interpretation. Practical interpretation of
ling pan oilfield indicates the method will greatly improve the effect of interpretation

Key words: fuzzy closeness degree, neural network, reservoir, recognition

CLC Number:

TE122.2

FENG Guo-qing LI Yun TAN De-hui. APPLICATION OF FUZZY CLOSENESS DEGREE IN RESERVOIR RECOGNITION[J]. 西南石油大学学报(自然科学版), 1999, 21(4): 46-49.

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APPLICATION OF FUZZY CLOSENESS DEGREE IN RESERVOIR RECOGNITION

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