ISSN 1673-8217 CN 41-1388/TE
主管:中国石油化工集团有限公司 主办:中国石油化工股份有限公司河南油田分公司
张宇晓. 1996: 神经网络在测井解释中的应用. 石油地质与工程, 10(02): 21-25+5.
引用本文: 张宇晓. 1996: 神经网络在测井解释中的应用. 石油地质与工程, 10(02): 21-25+5.
Zhang Yuxiao. 1996: Application of Nerve Network in Logging Interpretation. Petroleum Geology and Engineering, 10(02): 21-25+5.
Citation: Zhang Yuxiao. 1996: Application of Nerve Network in Logging Interpretation. Petroleum Geology and Engineering, 10(02): 21-25+5.

神经网络在测井解释中的应用

Application of Nerve Network in Logging Interpretation

  • 摘要: 介绍了神经网络的基本成分-神经元对信号的接收、激活与处理输出过程和网络的结构。从目前已有的几种模型中选取了误差反向传播网络模型。阐明了使用该模型进行训练与预测的方法和步骤,并用于测井中的粒度中值和渗透率解释。其预测结果、平均相对误差分别是7.84%与22.98%,而用以前其它方法,这一误差分别是20%与40%左右。

     

    Abstract: The basic features of nerve network and its implementation process are presented in this paper. The selected BP network model is shown in detail and applied to interpretation of the median grain diameter and permeability in logging. The mean relative errors of the predicted results are 7.84% and 22.98% respectively, but we use previous method, these errors are about 20% and 40% respectively.

     

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