自适应相减和Curvelet变换组合压制面波

面波是原始地震资料中主要的噪声之一，其强能量特性严重影响了地震资料的品质。为了提高地震资料的品质，又不损伤有效信号，提出了一种基于自适应相减滤波和Curvelet变换组合压制面波的方法。首先利用自适应相减滤波的保真保幅特性，最大限度保护有效信号的同时压制大部分面波，然后通过Curvelet变换的多方向特征压制残留面波。实际地震数据处理后，面波得到有效压制，资料信噪比明显提高，振幅时间切片更加光滑，分频扫描记录中低频信息保护较好，是一种相对保真保幅的面波压制方法。

Combination of adaptive subtraction and Curvelet transform to suppress surface waves

Surface wave is one of the primary noises in raw seismic data.It is so strong that it seriously affects the quality of seismic data.In order to improve the quality of seismic data without damaging effective signals,this paper proposes a method for suppressing surface waves based on the combination of adaptive subtraction filtering and Curvelet transform.First, adaptive subtraction filtering has the fidelity and amplitude-preserving characteristics, which is used to suppress most surface waves while maximally protecting effective signals.Then Curvelet transform has the multi-direction characteristics,which is used to suppress residual surface waves.After the processing above,surface waves are effectively suppressed,the signal-to-noise ratio is significantly improved,the amplitude time slice is smoother,and the low-frequency componentis better protected in the cross-frequency scanning record.Analysis and research show that the method proposed in this paper can effectively suppress surface waves while protecting effective signals.It is a relatively fidelity and amplitude-preserving method for surface wave suppression.