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在利用多分量VSP数据进行横波分裂的研究中,地表层的波的特性和震源的行为严重影响了目标层的各向异性性质的解释。本文中,基于多分量矢量褶积模型,我们导出了一个针对多源多分量数据的地表层算法。该算法可以在不知道地表层的详细资料的情况下,消除地表层散射、多次波和非均匀性等的影响。它同时还可以消除数据采集时由于震源的误差(如震源强度误差、震源取向误差等)所带来的影响。用人工合成地震数据对算法的试验表明该算法是可行的
In the study of shear wave splitting using multi-component VSP data, the characteristics of the surface wave and the behavior of the seismic source seriously affect the interpretation of the anisotropy of the target layer. In this paper, we derive a surface layer algorithm for multi-source and multi-component data based on the multi-component vector convolution model. The algorithm can eliminate the influence of surface scattering, multiples and inhomogeneities without knowing the details of the surface layer. It also eliminates the effects of source errors (such as source intensity error, source orientation error, etc.) during data acquisition. Experiments with synthetic seismic data show that the algorithm is feasible