基于经验模态分解的广义S变换在低频阴影中的应用  

Application of generalized S Transform in low frequency shadows based on empirical mode decomposition

作　　者：黄伟[1] 李波 何健 HUANG Wei;LI Bo;HE Jian(School of Geophysics,Chengdu University of Technology,Chengdu Sichuan 610059,China)

机构地区：[1]成都理工大学地球物理学院,四川成都610059

出　　处：《油气地球物理》2020年第2期58-61,共4页Petroleum Geophysics

摘　　要：经验模态分解是处理非平稳信号的一种经典时频分析方法。随着在勘探中的广泛应用,也暴露出经验模态分解的许多缺点,如缺乏具体的数学理论支撑、模态混叠等。这些缺点直接影响到实际地震信号处理中含油气层弱信号的提取。基于此,提出了一种通过基于经验模态分解的广义S变换的时频分析方法。首先,对地震数据进行经验模态分解,分解得到的固有模态分量,这是基于地震信号局部特征的时间尺度;其次,根据已有的测井资料选取合适的固有模态分量进行广义S变换;最后,对其进行分频处理和低频阴影分析。对比原地震信号只做广义S变换分频处理,基于经验模态分解的广义S变换能够得到更精确的有效单频剖面。The empirical mode decomposition is a classical time-frequency analysis method for dealing with non-stationary signals.With the widely applied in exploration,many shortcomings of empirical mode decomposition have also been exposed,such as lack of specific mathematical theory support,modal aliasing and so on.These shortcomings directly affect the extraction of weak signals in oil and gas reservoir in actual seismic signal processing.Based on this,a time-frequency analysis method based on generalized S Transform based on empirical mode decomposition is proposed.Firstly,the empirical modal decomposition of seismic data is performed to decompose the obtained modal components,which is based on the time scale of the local features of seismic signals.Secondly,the appropriate modal components are selected for generalized S Transform according to the existing logging data.Finally,it is divided into low frequency shadow analysis.Compared with the original seismic signal,only the generalized S Transform frequency-division processing is used.The more accurate effective single-frequency profile could be obtained by the generalized S Transform based on empirical mode decomposition.

关 键 词：经验模态分解 广义S变换 低频阴影 单频剖面 

分 类 号：G63[文化科学—教育学]