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《JOURNAL OF CHANGCHUN UNIVERSITY OF SCIENCE AND TECHNOLOGY》 1999-02
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STUDY ON THE PREDICTION METHODS OF OIL-GASRESERVOIR PERFORMANCE WITH WELL-LOGGING

Xu Yanqing; Li Zhoubo; Lu Jing'an(Changchun University of Science and Technology, Changchun 130026)  
As a parameter representing the dynamic characteristic, oil--gas reservoir performance isone of main indices for reservoir evaluation. The prediction of reservoir performance with well--loggingdata is a new field of compehensive interpretation in well--logging. In this paper, the principle of reservoir--performance prediction with well--logging data is discussed. A prediction system using fuzzy patternrecognition and neural network has been established. The successful prediction examples confirm the validity of the methods.
【CateGory Index】: TE15
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【Co-references】
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