基于局域波分解的地震信号时频属性提取
|
摘要
局域波分解可以得到有意义的频率并可以抑制时频分布交叉项,是1种新的自适应信号分解方法。在局域波分解基本原理的基础上,研究基于局域波分解的地震信号分频谱及频率属性的提取方法。将局域波分解与传统时频分析结合,进行有效数值实现与对比分析,通过模型地震数据与实际2D地震数据试算验证方法的正确性和有效性。研究表明:基于局域波分解的Wigner时频分布分频谱,具有较高的时频分辨率,交叉项得到简单有效的抑制;基于局域波分解的时频分析方法计算提取的频率属性,避免无意义的负频率,物理意义明确,为在地震储层研究和油气检测中的正确应用奠定基础。
Local wave decomposition(LWD) is a new method for signal decomposition to obtain the meaningful frequency and suppress cross terms.On the bais of fundamentals of the local wave decomposition method,frequency decomposition spectrum and frequency extraction from seismic signals based on the local wave decomposing method are studied.Combining the local wave decomposition with the traditional time-frequency method,the numerical algorithms are implemented with usage comparison between the modelled signal and 2D real seismic data to show the valid tity.From the results,it can be concluded that the spectral decomposition method based on LWD possesses high time-frequency localization precision and good cross-term suppression;and the methods based on local wave decompostion for extracting frequency also achieve good application results with a clear physical meaning,providing a basis for seismic reservior research or oil/gas detection.
Local wave decomposition(LWD) is a new method for signal decomposition to obtain the meaningful frequency and suppress cross terms.On the bais of fundamentals of the local wave decomposition method,frequency decomposition spectrum and frequency extraction from seismic signals based on the local wave decomposing method are studied.Combining the local wave decomposition with the traditional time-frequency method,the numerical algorithms are implemented with usage comparison between the modelled signal and 2D real seismic data to show the valid tity.From the results,it can be concluded that the spectral decomposition method based on LWD possesses high time-frequency localization precision and good cross-term suppression;and the methods based on local wave decompostion for extracting frequency also achieve good application results with a clear physical meaning,providing a basis for seismic reservior research or oil/gas detection.
引文
[1]张进铎,杨平,王云雷.地震信息的谱分解技术及其应用[J].勘探地球物理进展,2006,29(4):235-239.
[2]孙夕平.非正交小波谱分解技术的研究和应用[J].中国石油勘探,2006,4:74-79.
[3]刘喜武,刘洪,李幼铭,等.基于广义S变换研究地震地层特征[J].地球物理学进展,2006,21(2):440-451.
[4]卫俊平,赵国庆.基于局域波分解的Wigner-Ville分布[J].电子科技,2004,3:46-49.
[5]王凤利.基于局域波时频分析的机械故障诊断[J].大连海事大学学报,2005,31(4):71-78.
[6]刘喜武,刘洪,李幼铭,等.局域波分解及其在地震信号时频分析中的应用[J].地球物理学进展,2007,22(2):365-375.
[7]邹岩,马孝江.局域波法的时频分析及应用[J].机床与液压,2003,4:190-192.
[8]马孝江,余伯,张志新,等.一种新的时频分析方法——局域波法[J].振动工程学报,2000,13(5):219-224.
[9]Huang N E,Shen Z,Long S R.The empirical mode decompositionand the Hilbert spectrum for nonlinear nonstationary time series analy-sis[J].Proc.R.Soc.,1998,454:903-905.
[10]王宏禹.信号处理相关理论综合与统一法[M].北京:国防工业出版社,2005.
[11]盖强,马孝江,张海勇,等.几种局域波分解方法的比较研究[J].系统工程与电子技术,2002,24(2):57-59.
[12]Partyka G,Gridley J,Lopez J.Interpretational applications of spec-tral decomposition in reservoir characterization[J].The LeadingEdge,1999,3:353-360.
[13]Boualem Boashash.Estimating and interpreting the instantaneousfrequency of a signal-part Fundamentals[J].Proceedings of theIEEE,1992,80(4):520-538.
[14]Wonchul Nho.When is instantaneous frequency the average frequen-cy at each time[J].IEEE Signal Processing Letters,1999,6(4):78-80.
[15]Patrick J Loughlin.Comments on the interpretation of instantaneousfrequency[J].IEEE Signal Processing,1997,4(5):123-126.
[2]孙夕平.非正交小波谱分解技术的研究和应用[J].中国石油勘探,2006,4:74-79.
[3]刘喜武,刘洪,李幼铭,等.基于广义S变换研究地震地层特征[J].地球物理学进展,2006,21(2):440-451.
[4]卫俊平,赵国庆.基于局域波分解的Wigner-Ville分布[J].电子科技,2004,3:46-49.
[5]王凤利.基于局域波时频分析的机械故障诊断[J].大连海事大学学报,2005,31(4):71-78.
[6]刘喜武,刘洪,李幼铭,等.局域波分解及其在地震信号时频分析中的应用[J].地球物理学进展,2007,22(2):365-375.
[7]邹岩,马孝江.局域波法的时频分析及应用[J].机床与液压,2003,4:190-192.
[8]马孝江,余伯,张志新,等.一种新的时频分析方法——局域波法[J].振动工程学报,2000,13(5):219-224.
[9]Huang N E,Shen Z,Long S R.The empirical mode decompositionand the Hilbert spectrum for nonlinear nonstationary time series analy-sis[J].Proc.R.Soc.,1998,454:903-905.
[10]王宏禹.信号处理相关理论综合与统一法[M].北京:国防工业出版社,2005.
[11]盖强,马孝江,张海勇,等.几种局域波分解方法的比较研究[J].系统工程与电子技术,2002,24(2):57-59.
[12]Partyka G,Gridley J,Lopez J.Interpretational applications of spec-tral decomposition in reservoir characterization[J].The LeadingEdge,1999,3:353-360.
[13]Boualem Boashash.Estimating and interpreting the instantaneousfrequency of a signal-part Fundamentals[J].Proceedings of theIEEE,1992,80(4):520-538.
[14]Wonchul Nho.When is instantaneous frequency the average frequen-cy at each time[J].IEEE Signal Processing Letters,1999,6(4):78-80.
[15]Patrick J Loughlin.Comments on the interpretation of instantaneousfrequency[J].IEEE Signal Processing,1997,4(5):123-126.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心