Morlet小波分频处理在提高地震资料分辨率中的应用
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摘要
利用常规方法对地震资料进行处理,其频带受原始地震资料频带的制约,通常不能满足精细储层预测和描述的需要,为此,提出了一种Morlet小波变换分析方法来提高地震资料的分辨率。该方法具有良好的时频局部化性质而优于传统的傅里叶分析方法。Morlet小波变换分析作为叠后地震资料分频方法更适应于地震频谱分析。首先利用Morlet小波变换建立恰当的小波滤波器组,然后对地震信号做相应频谱分析,分别对单道数据及实际资料进行处理,得到了不同尺度的地震资料,最后对处理结果进行了分频反演。最终结果表明,用Morlet小波变换分析处理后的地震资料,其品质得到了明显的改善,处理后的剖面同相轴变细,频带变宽,分辨率得到了提高。
In traditional data processing,the frequency band was restrict- ed by original frequency band,which cannot satisfy the demand for fine reservoir description and prediction,Therefore,the Morlet wavelet transform method which is good in time-frequency localiza- tion was proposed to improve the resolution of seismic data,and as a poststack seismic data frequency-division method,it is more suit- able for seismic spectrum analysis.Firstly,the Morlet wavelet transform is utilized to eatablish a suitable wavelet filter bank. Then,a relevant spectrum analysis is made on seismic signals and the seismic data of different scales is obtained after processing a single trace data and actual data separately.Finally,the frequency- division inversion is made based on processing results.The uhi- mate result shows that the quality of seismic data has been greatly improved after the Morlet wavelet transform.After processing, the profiles have thinner event,wider frequency band,and higher resolution.
In traditional data processing,the frequency band was restrict- ed by original frequency band,which cannot satisfy the demand for fine reservoir description and prediction,Therefore,the Morlet wavelet transform method which is good in time-frequency localiza- tion was proposed to improve the resolution of seismic data,and as a poststack seismic data frequency-division method,it is more suit- able for seismic spectrum analysis.Firstly,the Morlet wavelet transform is utilized to eatablish a suitable wavelet filter bank. Then,a relevant spectrum analysis is made on seismic signals and the seismic data of different scales is obtained after processing a single trace data and actual data separately.Finally,the frequency- division inversion is made based on processing results.The uhi- mate result shows that the quality of seismic data has been greatly improved after the Morlet wavelet transform.After processing, the profiles have thinner event,wider frequency band,and higher resolution.
引文
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2杨贵祥．基于调谐频率与分频处理的高分辨率反演技术[J]．石油物探,2006,45(3):242～244
3马坚伟,朱亚平,杨慧珠．二维地震波形小波多尺度反演[J]．工程数学学报,2004,21(1):109～113
4魏明果．实用小波分析[M]．北京:北京理工大学出版社,2005．1～3
5范留明,黄润秋．地震动信号的小波分析[J]．物探化探计算技术,2000,22(1):1～4
6王勇,郦军,张奎风．基于小波变换地震信号降噪处理[J]．石油物探．1998,37(3):72～76
7李宗杰,杨林,王勤聪．小波变换在位场数据处理中的应用[J]．石油物探,1997,36(2):86～93
8郭刚明,时立彩,高生军等．小波变换在地震资料处理中的应用效果分析[J]．石油物探．2003,42(2): 237～270
9 Brenner M.Wavelet analyses of F/A-18 aeroelasti- cand aeroservoelastic flight test data[C].In:38th A- IAA Structures,Structural Dynamics and Materials Conference,1997.696～698
10 Cohen L．时一频分析:理论与应用[M]．白居宪译．陕西西安:西安交通大学出版社,1998．36～42
11崔锦泰．小波分析导论[M]．程正兴译．陕西西安:西安交通大学出版社,1995．71～80
12 Vetterli M,Herley C.Wavelets and filter banks:theo- ry and design[J].IEEE Transactions on Signal Pro- cessing,1992,40(9):2207～2232
13傅志方．振动模态分析与参数辨识[M]．北京:机械工业出版社,1990．144～152
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