小波变换方法在地震资料去噪和提高分辨率中的应用

APPLICATION OF WAVELET TRANSFORM IN REMOVING NOISE AND IMPROVING RESOLUTION OF SEISMIC DATA

以小波变换为基础进行了叠前资料的面波去除处理．从分频处理的思路出发，研究了小波变换ＦＸ域拟合去噪．借鉴二维ＦＫ编程原理，实现了二维小波的快速算法，给出了噪声在二维小波变换域中的不同特征，进行了相应的处理．在小波变换域中。

Wavelet transform (WT) is of excellent characteristics of time and frequency localization. by using WT, the seismic record can easily be decomposed to some different frequency channels and compose different frequency division profiles. These profiles have differrent S/N ratio and resolution. Between them, the signal and noise have different features. On the other hand, they keep up a relationship within one profile. Frequency division processing method can be used to remove the noise. The frequency division energy compensating technique can improve the seismic resolution. The WT was used to remove the noise of prestack seismic data. The WT was introduced to classical removing noise method. The frequency division was processed.