【摘要】 面波是陆上地震勘探中的主要干扰波之一,常规的面波压制方法仅从面波与反射信号在某一方面的差异进行压制,会在一定程度上造成有效信号的损伤。利用不同尺度面波与有效信号的差异,提出一种分尺度分级压制面波的方法。对地震数据的高尺度部分在Shearlet域进行反射波与面波的分离,对地震数据的低尺度部分在S域采用经验模态分解(EMD)的方式进行信噪分离。将该方法用于模型及实际资料处理,处理结果表明了该方法的正确性与有效性;并与Curvelet域的阈值法进行了对比,结果表明此方法在保持反射信息的同时面波压制更彻底。更多还原

【Abstract】 Surface wave is one of the main interference waves in land-based seismic exploration.In conventional methods for surface wave suppression are only based on a difference in the properties of reflection signals and surface waves,and may result in energy loss of effective signals to some extent.In view of differences between the surface waves of different scales and effective signals,this paper proposes a surface wave suppression method based on scale-partition and grading.Surface waves and reflection waves in highscale seismic data are separated in Shearlet domain;Using the Empirical Mode Decomposition Method,signal and noise of low-scale seismic data are separated in S domain.This suppression method is applied in modeling and processing of real data,which proves its correctness and validity.As compared with the threshold method in Curvelet domain,this method can achieve more complete suppression of surface waves,while keeping the reflection information.更多还原