Abstract:Surface wave suppression is an important part of seismic data processing. To ensure signal fidelity and reduce the impacts of spatial aliasing in suppression,surface wave prediction and suppression methods based on dispersion characteristics have received attention in recent years. Using the inherent dispersion property of surface waves,this method predicts them by analyzing and calculating the dispersion relationship obtained and suppresses them through subtraction from the original data. However,the method also has some drawbacks,such as the low precision of dispersion spectrum,the inaccurate prediction of surface wave,or the high precision of dispersion spectrum at the expense of time-consuming calculation,which leads to the failure to be widely and well applied in practical production. An improved dispersion surface wave suppression strategy is introduced in this paper. Specifically, the strategy utilizes the technologies of adaptive surface wave data extraction, method of surface wave reconstruction varying with offset, and surface wave model matching subtraction. It combines a high-precision dispersion spectrum analysis method to accurately predict the surface wave. The method has been effectively applied in the processing of massive data. The test results of actual data show that the method can effectively remove surface waves and protect the effective signals to a maximum degree. It boasts a broad application scenario in the work area where surface waves develop.
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