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小波神经网络在测井油水解释中的应用
引用本文:张学庆,肖慈珣,刘争平.小波神经网络在测井油水解释中的应用[J].物探化探计算技术,2002,24(2):115-118,191.
作者姓名:张学庆  肖慈珣  刘争平
作者单位:1. 成都理工大学,信息工程学院,成都,610059
2. 西南交通大学,土木工程学院,成都,610000
摘    要:作者在本文中讨论了小波神经网络概念和油水测井曲线段的频率特性。以小波分析为数据预处理工具,首先用小波分解高频成分对测井曲线进行分段,然后应用小波分析提取出测井段的分频能量特征向量,以此向量代表井段的信息,并作为神经网络的输入,进行神经网络的测井解释,实现了小波神经网络的测井分段油水解释。

关 键 词:小波神经网络  小波分析  神经网络  测井解释  含油层  含水层  测井曲线
文章编号:1001-1749(2002)02-0115-04

LOGGING INTERPRETATION OF OIL AND WATER WITH WAVELET-NN
ZHANG Xue qing ,XIAO Ci xun ,LIU Zheng ping.LOGGING INTERPRETATION OF OIL AND WATER WITH WAVELET-NN[J].Computing Techniques For Geophysical and Geochemical Exploration,2002,24(2):115-118,191.
Authors:ZHANG Xue qing  XIAO Ci xun  LIU Zheng ping
Institution:ZHANG Xue qing 1,XIAO Ci xun 1,LIU Zheng ping 2
Abstract:This paper discusses the conception of waveletartificial neural networks and the frequency characters of well logging, analyze the logging data with wavelet analysis as preprocessing tool. First the logging curves are layered with their high frequency component abstracted by wavelet analysis; Then the characteristic vectors composed of energy of every frequency component are picked up and used as input vector of artificial neural networks for interpretation. With this method, we achieve the zoning oil-water interpretation using well logging data.
Keywords:wavelet  NN  artificial neural  network  well logging interpretation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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