小波谱白化方法提高地震资料的分辨率

Improving resolution of seismic data using wavelet spectrum whitening.

小波变换具有分析性质好和时—频局域化好的特性 ,而谱白化方法是高分辨处理中一种有效的频率补偿手段。本文利用它们各自的优点 ,使二者有机结合起来 ,提出了一种地震资料高分辨处理方法。该方法首先对地震信号进行小波分解 ,再利用谱白化方法对小波分尺度信号进行合理的频率补偿 ,最后将频率补偿后的小波分尺度信号进行小波反变换 ,得到高分辨地震信号。

Wavelet transform has a good analyzing feature and a good time frequency localization. Spectrum whitening is a effective tool of frequency compensation in high resolution processing. Using their advantages and combining both of them, the paper presents a high resolution processing technique for seismic data. The method conducts first a wavelet decomposition of seismic data, then makes a reasonable frequency compensation for fractional scaling signal of wavelet, finally the fractional scaling signal of wavelet after frequency compensation has been conducted inverse wavelet transform and resulted a high resolution seismic signal. Theoretic model calculation and field seismic data processing results showed that the method is correct and effective.