基于小波变换的地震数据去噪的研究

Research on Seismic Data Denoising based on Wavelet Transform

根据小波变换的原理,提出了将小波变换应用于地震数据进行去噪的方法.该方法利用有用信号和噪声的小波系数在时频域内的差异,选取有用信号的小波系数进行重构从而达到去噪的目的.采用时域400道数据,每道100个采样点的二维地震数据进行实验,结果表明:小波去噪法能取得良好的去噪效果,选取小波系数越多,恢复的信号强度越好,但也会相应的引入更多的噪声.

According to the principle of wavelet transform,the paper presents a denoising method which applies wavelet transform to seismic data.This method uses the difference of wavelet coefficients of signal and noise in frequency domain,and selects the coefficients of useful signal for reconstruction to achieve the purpose of denoising.Used two dimensional seismic data which contained 400 channels in time domain and 100 sampling points each channel to make experiments.The results show that the wavelet denoising method has good denoising effect.The more the wavelet coefficients are selected,the better the signal intensity is restored,but more noise will be introduced accordingly.