【摘要】 提出了一种有效的多分量地震波波场分解方法 ,该方法假设在相邻道集波场的振幅、相位变化不大的情况下 ,根据纵波和转换波在传播中相对于不同的极化矢量和慢度得到的垂向和水平向分量 ,在最小方差约束下从多分量输入数据中获取纵波和转换波的偏振方向和振幅并重构纵波和转换波 ,从而分离纵波和转换波 .这种方法精度较高 ,不仅能有效分解一次反射波的多分量波场 ,多次反射的纵波和转换波也能被恰当地分解 .该方法不需要输入地层速度等参数信息 ,减少了人为误差的影响 .通过对合成资料的处理 ,验证了方法的可行性和正确性更多还原

【Abstract】 This paper presents an effective decomposition method for multicomponent seismic wavefields. This method assumes that the changes of amplitude and phase for the seismic wavefields in the adjacent traces are small. In this case the vertical and the horizontal components for both longitudinal and shear waves are determined by their different polarization and slowness during propagation. Under the least square constraint, the polarization and the slowness for each wave can be estimated from the input multicomponent data. Therefore, the longitudinal and the shear waves can be reconstructed and then separated. This method is accurate. Not only the multicomoponent wavefields of primaries can be decomposed effectively with this method, but also the longitudinal and converted waves which are reflected many times can be decomposed as well. Straigraphical information such as velocities is not needed in this method and therefore effect of artificial errors is reduced. The example of synthetic data confirms that this method is feasible and correct.更多还原