经验模态分解法在地震资料处理中的应用试验
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摘要
通过对多种连续小波基的平稳序列时频分析,提出经验模态的非平稳序列的时频分析方法,并在地震资料处理解释应用中作探索性试验。试验结果表明:对地震记录道长为5 s和2 ms采样资料,经验模态分解后可获得6—7个固有模态函数单分量,分解的第一个分量C1(t)具有较宽的频率成分,可作为地震属性的主分量。
In this article,based on the continual wavelet base time-frequency analysis method of stationary series,an time-frequency analysis method of non-stationary series with empirical mode decomposition is presented.And an interpretation of seismic data processing applications was tentatively tested.The results show that from a seismic trace of 5 seconds length and 2 ms sampling,6—7 IMF single components can be obtained after decomposed,the first component C_1(t) of the decomposition,which is with wide frequency components,can be used as the principal component analysis of seismic data.
In this article,based on the continual wavelet base time-frequency analysis method of stationary series,an time-frequency analysis method of non-stationary series with empirical mode decomposition is presented.And an interpretation of seismic data processing applications was tentatively tested.The results show that from a seismic trace of 5 seconds length and 2 ms sampling,6—7 IMF single components can be obtained after decomposed,the first component C_1(t) of the decomposition,which is with wide frequency components,can be used as the principal component analysis of seismic data.
引文
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Huang N E,Wu M L,Long S R,Shen S S,Qu W D,Gloersen p and Fan K L.A confidence limit for the Empirical Mode Decomposition and Hilbert Spectral Analysis[J].Proceedings Royal Society of London,2003,A459:2 317 - 2 345.
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王晓峰,贾君,杨文东,刘彦雨,孟宪森.数字地震仪远程故障分析[J].地震地磁观测与研究;2004,25(1):245-246.
王祝文,等.Hilbert-Huang变换在提取阵列声波信号动力特性中的应用[J].地球物理学进展,2008,23(2):450-455.
杨世锡,等.基于高次样条插值的经验模态分解方法研究[J].浙江大学学报(工学版),2004,3:267-270.
杨智春,谭光辉.一种基于样条插值的经验模态分解改进算法[J].西北工业大学学报,2007,25(5):737-741.
Huang N E,Wu M L,Long S R,Shen S S,Qu W D,Gloersen p and Fan K L.A confidence limit for the Empirical Mode Decomposition and Hilbert Spectral Analysis[J].Proceedings Royal Society of London,2003,A459:2 317 - 2 345.
Huang N E,Zheng Zhen and Long S R,et al.The empirical mode decomposition and Hilbert spectrum for non-stationary time series analysis[D].Proc R Soc London Ser A,1998,9454(1971):903 -995.
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