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- W2394304248 abstract "In the course of oilfield development,accurate.production prediction has always played important role in practicing development adjustment and enhancing the effects of stimulation operation,and moreover it determines the investment size of oilfield production and decision orientation.But oil reservoir is a complex,multiple variables and nonlinear dynamic system and furthermore because of the heterogeneity of oil reservoirs and the uncertainty of the factors that determine the oilfield production rate,the oilfield production is always very difficult to predict accurately.Wavelet neural network(WNN) is the integration of both wavelet analysis and feedforward neural network.This network has the following advantages:much better convergence than BP network;possesses the function of dealing with complicated, time-variant and vibration-proof problems and moreover predicts production rate for the oilfield with more complicated geological conditions and uncertain influencing factors.Through the actual calculation of production prediction,the method is proven to own much more powerful theoretical guide and much better application effects." @default.
- W2394304248 created "2016-06-24" @default.
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- W2394304248 date "2008-01-01" @default.
- W2394304248 modified "2023-09-26" @default.
- W2394304248 title "Application of wavelet neural network in oilfield production prediction" @default.
- W2394304248 hasPublicationYear "2008" @default.
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