APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN RESERVOIR PARAMETER PREDICTION IN XIFENG OILFIELD
Online published: 2004-06-20
李凤杰;王多云;苑克增;郑希民; . 人工神经网络技术在油田储层物性预测中的应用――以西峰油田为例[J]. 天然气地球科学, 2004 , 15(3) : 243 -246 . DOI: 10.11764/j.issn.1672-1926.2004.03.243
To compare with the traditional log data comprehensive explanation and information disposing technique, BP artificial neural network method possesses great ability of adapting itself, learning itself in parameter prediction of reservoirs which have great nonhomogeneity and big progression error of physical parameters. By use of the wonderful nonlinear mapping ability, BP artificial neural network method can build accurately nonlinear model between reservoir parameters and log response.
Key words: BP neural networks; Logging explanation; Porosity; Permeability; Xifeng oilfield.
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