基于小波分析的过零点滤波器与地震降噪

Zero-crossing filter based on wavelet analysis for seismic denoising

为解决地震勘探中的面波压制问题,该文基于小波分析理论处理单分量地震资料,根据面波频率低、能量强的特征设计了过零点滤波器,在小波分解后的逼近系数中识别并压制了面波,在细节系数中进行了有效波补偿。实际资料处理表明,该方法能剔除95%以上的面波,并且在压制面波的同时减少反射波的损失,较之传统方法有显著改善。

A zero-crossing filter was designed using wavelet analysis to remove the low-frequency, high-energy surface wave to suppress the effect of surface wave on seismic exploration. The filter was used to process single-component seismic data. After the wavelet packet decomposition, the low frequency coefficients for the surface wave was suppressed to observe the valid wave components in the high frequency coefficients. The algorithm removes more than 95% of the surface wave and is more efficient than traditional methods, especially for suppressing correlatied noises with few reflected wave loss.