【摘要】 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更多还原

【Abstract】 In shear wave splitting research using multicomponent VSP data, wave characteristic in surface layer and source behaviour influence greatly the anisotropy interpretation of objective interval. A surface layer correction algorithm for multisource and multicomponent VSP data has been developed on the basis of multicomponent vector convolution model. It may be used to remove some negative influences of scattering, multiple wave and inhomogeneity in surface layer when people don’t know the detailed data of surface layer. It also favours eliminating the negative influence caused by source errors such as source strength error, source orientation error and so on in seismic data acquisition. The trial of synthetic seismogram proves this algorithm feasible.更多还原