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    The prediction of permeability using an artificial neural network system

    , Article Petroleum Science and Technology ; Volume 30, Issue 20 , 2012 , Pages 2108-2113 ; 10916466 (ISSN) Pazuki, G. R ; Nikookar, M ; Dehnavi, M ; Al Anazi, B ; Sharif University of Technology
    2012
    Abstract
    The authors studied the efficiency and accuracy of neural network model for prediction of permeability as a key parameter in reservoir characterization. So, some multilayer perceptron (MLP) neural network models with different learning algorithms of Levenberg-Margnardt, back propagation, improved back propagation (IBP), and quick propagation with three layers and different node numbers (3, 4, 5, 6, 7) in the middle layer have been presented. These models have been obtained by 630 permeability data from one of offshore reservoirs located in Saudi Arabia. The accuracy of models was studied by comparing the obtained results of each model with experimental data. So, the neural network with IBP...