应用Morlet小波进行地震资料属性提取效果分析

Morlet小波被广泛应用于地震资料属性提取中的主要原因是Morlet小波为复小波且对高频噪声有压制作用。分析了Morlet小波的滤波机理及实现过程，指出由于Morlet小波在频域呈钟形状，决定了它不是理想滤波器。应用不含噪模型和信噪共存模型进行实例测试的结果表明,Morlet小波不能消除信噪共存频带内的噪声，并且在去噪过程中对有效波有不同程度的损害。为此指出应用Morlet小波进行地震资料属性提取不是最佳选择。

Analysis of the effectiveness of seismic attributes extracted by using Morlet wavelet

Morlet wavelet is widely used in attribute extraction from seismic data because Morlet wavelet is a complex wavelet and is capable of suppressing high frequency noises.This paper analyzed the filtering mechanism and realization of Morlet wavelet.It is pointed out that Morlet wavelet is not an ideal filter due to its bell form in frequency domain.Tests on data with and without noises show that Morlet wavelet is unable to remove the noises within the band that signals and noises coexist,and even worst the filtering process damages the effective waves.Therefore,Morlet wavelet is not the best choice for attribute extraction from seismic data.