论文部分内容阅读
在横波地震勘探中 ,一个常见的应用就是利用多分量数据确定快横波 (qS1)的极化方向以及它与分裂出的慢横波 (qS2 )之间的时间差。为确定这 2个参数 ,通常采用 2个正交震源 ,这已得到了较为系统的研究。但当只有单源数据时 ,通常必须假设介质是均匀各向异性介质。本文基于矢量褶积模型 ,导出了一个从单源多分量数据中获取横波各向异性参数的算法。此算法可以应用于均匀各向异性介质 ,也可以用于复杂地表及各向异性特性随深度变化的情况。我们用合成地震数据以及实际数据对该算法进行了验证 ,并与多源算法的应用结果进行了比较。
In shear wave seismic exploration, a common application is to use multicomponent data to determine the polarization direction of fast shear-wave (qS1) and its time difference from the split slow shear-wave (qS2). To determine these two parameters, usually 2 orthogonal sources, which have been more systematic study. However, when there is only single source data, it must usually be assumed that the medium is a homogeneous anisotropic medium. Based on the vector convolution model, this paper derives an algorithm for obtaining shear-wave anisotropy parameters from single-source multi-component data. This algorithm can be applied to homogeneous anisotropic media and can also be used for complex surface and anisotropic changes with depth. We validate this algorithm with synthetic seismic data and real data and compare it with the results of multi-source algorithms.