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- W2374792212 abstract "Compared with conventional mathematical statistics methods to predict the reservoir physical parameters(porosity and permeability),BP neural network can predict the parameters of reservoir more accurately because of the high nonlinear mapping ability,powerful adaptive and self-learning.With established the interpreting models of reservoir physical parameter and information of well-logging,we predicted the reservoir parameters of Yangchang Formation of Zhengyuan field by use of the basic principle of BP neural network,and tested the accuracy.The results proved that reservoir physical parameters improved highly with BP neural network compared with conventional mathematical statistics methods,and it displays the superiority and potential to predict the reservoir physical parameters.We predicted the reservoir parameters of this field with BP neural network by established the interpreting models." @default.
- W2374792212 created "2016-06-24" @default.
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- W2374792212 date "2008-01-01" @default.
- W2374792212 modified "2023-09-23" @default.
- W2374792212 title "Application of BP Neural Network in Predicting Physics Properties in Layer-stored" @default.
- W2374792212 hasPublicationYear "2008" @default.
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