Abstract：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.
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