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。 In order to solve the problem of surface wave suppression in seismic exploration, this paper deals with the single-component seismic data based on the wavelet analysis theory. According to the characteristics of low surface wave frequency and high energy, the zero-crossing filter is designed and identified in the approximation coefficients after wavelet decomposition Suppressed surface waves, the details of the coefficients in the effective wave compensation. The actual data processing shows that the method can eliminate more than 95% of surface waves and reduce the loss of reflected waves while suppressing the surface waves, which is significantly improved compared with the traditional method.