【摘要】 在地震频率范围内,含较大裂缝多孔岩石的各向异性参数表现出频率相关性。本文基于矢量褶积模型建立了分析多分量VSP数据的与频率相关各向异性的横波分裂参数提取算法。该算法可以在频域中针对单个频率提取横波各向异性参数(快横波的极化方向以及快、慢横波的时差),避免了传统算法中分段滤波可能带来的误差。通过对地震合成记录的数值分析,证明了该算法的可行性和正确性,并与传统算法结果进行了比较。结果显示,与频率相关的各向异性横波分裂参数可以从地震数据中提取。更多还原

【Abstract】 Anisotropic parameters of the porous rocks with larger scale fractures are usually frequency-dependent in the seismic frequency range.Based on the vector convolutional model for shear-wave propagating through an anisotropic medium,developed by Zeng and MacBeth(1993),we develop a new algebraic technique for extracting shear-wave splitting parameters from VSP multi-component data in frequency-dependent anisotropic medium.By this new technique,anisotropic parameters,including polarization direction of the shear-waves and time-delay between fast and slow shear-waves,can be estimated for each frequency in the frequency domain.This avoids errors caused by band-passed filter in the conventional technique.The feasibility and validity of the technique is tested on synthetic seismograms and a comparison with the conventional technique is also given.The results demonstrate that the frequency-dependent anisotropy shear-wave splitting parameters can be extracted directly from seismic data by this technique.更多还原