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- W2371094787 abstract "Briefly reviewed are applications of artificial intelligence(AI) in petroleum development in recent years,and expounded are fuzzy ranking arithmetic in fuzzy theory and BP neural networks in AI.By mean of integrating these two techs,first,fuzzy logic is used to select input factors(well logs) with strong relativity to whole,then a BP neural networks model for oil saturation prediction is constructed.As a case study,the saturation prediction of the BP neural networks model on logs of a well in Xinjiang Oilfield is highly accordant with the calculation results with conventional logging interpretation on the same logs.The result shows its practicability of the method." @default.
- W2371094787 created "2016-06-24" @default.
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- W2371094787 date "2007-01-01" @default.
- W2371094787 modified "2023-09-28" @default.
- W2371094787 title "Fuzzy Logic and Neural Networks and Their Application in Oil Saturation Prediction" @default.
- W2371094787 hasPublicationYear "2007" @default.
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