关键词: 渗透率预测, 储层表征, 岩性识别, RBF神经网络

Abstract: This paper studies the parameter calculation relating to petroleum reservoir characterization and lithologic identification based on RBF neural networks. Two models for reservoir parameters (permeability) prediction and lithologic identification have been built and they are applied to predict the unknown samples. The prediction result for reservoir permeability has higher consistency with the practical cases. The prediction and identification precision have been greatly improved compared to the traditional BP neural networks. The results show that the RBF neural network is very promising for the application of petroleum reservoir characterization.

Key words: permeability prediction, reservoir characterization, lithologic identification, RBF neural networks