APPLICATION OF ARTIFICIAL NEURAL NETWORK ON THE OIL-GAS-WATER RECOGANITION IN THE WELL LOGGING

doi:10.3863/j.issn.1000-2634.2002.03.008

西南石油大学学报(自然科学版) ›› 2002, Vol. 24 ›› Issue (3): 28-30.DOI: 10.3863/j.issn.1000-2634.2002.03.008

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APPLICATION OF ARTIFICIAL NEURAL NETWORK ON THE OIL-GAS-WATER RECOGANITION IN THE WELL LOGGING

ZHONG Da-kang¹ZHANG Guo-xi² .　

(University of Petroleum, Changping Beijing 102249,China)

Received:2001-09-23 Revised:1900-01-01 Online:2002-06-30 Published:2002-06-30
Contact: ZHONG Da-kang

Abstract

Abstract: There are many kinds of oil-gas-water recognition methods such as the core and cuttings testing, cross charting, linear function recognition. This paper mainly introduces the artificial neural network methods, which include the basic principal,composition of the system, recognition parameters, result and
effectiveness of the methods. It has been applied to a few oil fields in Jungar basin. The result indicates that the recognition precision is over 90%, apparently superior to the traditional methods, and the methods have a broad application prospect in this area.

Key words: neural network, oil-gas-water discrimination beds identification, geological logging, Jungar basin

CLC Number:

TE142

ZHONG Da-kang ZHANG Guo-xi .　. APPLICATION OF ARTIFICIAL NEURAL NETWORK ON THE OIL-GAS-WATER RECOGANITION IN THE WELL LOGGING[J]. 西南石油大学学报(自然科学版), 2002, 24(3): 28-30.

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APPLICATION OF ARTIFICIAL NEURAL NETWORK ON THE OIL-GAS-WATER RECOGANITION IN THE WELL LOGGING

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