The most distinctive criterion for identifying the nature of events is moveout.

这是识别事物本质的最为显著的准则。

The method of residual normal moveout analysis for multiple is based no NMO correction of CMP gather.

多次波的剩余时差分析法是在CMP道集动校正基础上进行的。

Shear moveout reflected the porosity variation, it was feasible to compute porosity by using shear moveout.

横波时差也反映地层孔隙度的变化，因此利用横波时差来计算地层的孔隙度是可行的。

The normai moveout corrected seismic data are mi-grated to the zero offset dipping reflector, which solves the problem in deep layer image.

该技术是将动校正后的数据偏移到倾斜反射界面零偏移距位置上，能够解决深层构造成像问题。

Then, the signal amplitudes and noise covariance matrices are estimated by using an algorithm in CMP gather after static and normal moveout.

然后在动静校正后的CMP道集内，采用简捷的算法来估算信号的振幅成分和噪音的协方差矩阵；