小波变换在地震资料高分辨处理中的应用
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摘要
目前，人们开发了地震资料叠后高分辨处理的多种方法，使地震资料的分辨率得到不同程度的提高，但信噪比却下降了，从而使物探解释人员不敢大量地使用这种叠后高分辨资料作层位对比和油气解释。为了改变这样的局面，本文利用二维小波变换作了地震资料的叠后高分辨处理。理论和实践都证明，这种方法不仅使地震资料的分辨率得到较大提高，而且信噪比不降低，是较为理想的一种叠后高分辨处理方法。
The currently developed poststack high resolution processing techniques can increase seismicresolution to different levels but decrease signal-noise ratio. Thus interpreters dare not rely onthese techniques too much in their work of stratigraphic correlation. To get out of this cmbarrasingsituation we propose to utilize two dimensional wavelet trandform in poststack high resolutionprocessing of seismic data. It can be demonstrated that the proposed method can increase theresolution of seismic data a lot without decrcasing its signal-noise ratio and is one of the relativelyideal methods in poststack high resolution processing techniques.
The currently developed poststack high resolution processing techniques can increase seismicresolution to different levels but decrease signal-noise ratio. Thus interpreters dare not rely onthese techniques too much in their work of stratigraphic correlation. To get out of this cmbarrasingsituation we propose to utilize two dimensional wavelet trandform in poststack high resolutionprocessing of seismic data. It can be demonstrated that the proposed method can increase theresolution of seismic data a lot without decrcasing its signal-noise ratio and is one of the relativelyideal methods in poststack high resolution processing techniques.
引文
[1]I. Daubechies,The Wavelet Transform,Time-Frequency Localization and Signal Analysis,IEEE,Transactions on Information Theory,Vol.36,No.5,Septemper 1990.
[2]G.Mallat,A Theory for Multiresolution Signal Decomposition The Wavelet Represention,IEEE,Transactions on Pattern Analysis and Machine Intelligence Vol.11,No.7,July 1989.
[3]G.Mallat,Multifrequency Channel Decompositions of Images and Wavelet Models,IEEE,Transactions on Accoustics Speech and Signal Proccessing Vol.37,No.12,December 1989.
[4]李世雄、刘家琦,《小波变换和反演数学基础》,地质出版社,1994年。
[5]秦前清、杨宗凯,《实用小波分析》,西安电子科技大学出版社,1994年。
[6]刘贵民、邸双亮,《小波分析及其应用》,西安电子科技大学出版社,1992年
[7]江苏省地球物理学会编,《分形分维和小波分析方法在油气地球物理资料处理解释中的应用》,1994年。
[8]赵改善,小波变换与地震数据压缩,《石油物探》,1994年,第4期。
[2]G.Mallat,A Theory for Multiresolution Signal Decomposition The Wavelet Represention,IEEE,Transactions on Pattern Analysis and Machine Intelligence Vol.11,No.7,July 1989.
[3]G.Mallat,Multifrequency Channel Decompositions of Images and Wavelet Models,IEEE,Transactions on Accoustics Speech and Signal Proccessing Vol.37,No.12,December 1989.
[4]李世雄、刘家琦,《小波变换和反演数学基础》,地质出版社,1994年。
[5]秦前清、杨宗凯,《实用小波分析》,西安电子科技大学出版社,1994年。
[6]刘贵民、邸双亮,《小波分析及其应用》,西安电子科技大学出版社,1992年
[7]江苏省地球物理学会编,《分形分维和小波分析方法在油气地球物理资料处理解释中的应用》,1994年。
[8]赵改善,小波变换与地震数据压缩,《石油物探》,1994年,第4期。
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