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储层流体识别的新方法
引用本文:岳文正,陶果.储层流体识别的新方法[J].应用地球物理,2006,3(2):124-129.
作者姓名:岳文正  陶果
作者单位:中国石油大学测井研究中心 CNPC测井重点研究室,中国石油大学测井研究中心,CNPC测井重点研究室,北京,102249,北京,102249
基金项目:This research is sponsored by Nation Natural Science Foundation of China (No.50404001 and No.50374048)
摘    要:利用小波变换方法可以把原始信号分解为一系列载有不同信息的子信号,每种子信号载有储层的特定信息,包括流体、岩性和孔隙结构等。我们开发出了基于小波变换的谱分析方法,利用该方法可以从这些子信号中提取出反映地层流体特性的子信号,通过对该子信号的处理识别出地层所含流体的特性。本文利用该流体识别新方法对某油田的实际测井资料进行了处理,处理结果与试油结果符合得很好,进一步证明了本方法的可靠性和实用性。

关 键 词:小波变换  能谱分析  储层流体识别  电法测井
收稿时间:2006-03-15
修稿时间:2006-03-152006-05-25

A new method for reservoir fluid identification
Wenzheng Yue,Guo Tao.A new method for reservoir fluid identification[J].Applied Geophysics,2006,3(2):124-129.
Authors:Wenzheng Yue  Guo Tao
Institution:(1) CNPC Well Logging Key Laboratory, China University of Petroleum, Beijing, 102249, China
Abstract:The wavelet transform (WT) method has been employed to decompose an original geophysical signal into a series of components containing different information about reservoir features such as pore fluids, lithology, and pore structure. We have developed a new method based on WT energy spectra analysis, by which the signal component reflecting the reservoir fluid property is extracted. We have successfully processed real log data from an oil field in central China using this method. The results of the reservoir fluid identification agree with the results of well tests.
Keywords:wavelet transform  energy spectrum analysis  reservoir fluid identification  and electrical well-logging  
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