地形变化多分量数据的速度分析方法

M. Grech, S. Cheadle, X. Miao, T. Zhu
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引用次数: 4

摘要

我们修改了p波和c波数据的正移差(NMO)方程来处理地表高程变化,并在速度分析和NMO校正程序中实现了该方程。对于c波情况,我们还开发了一种新的速度分析方法,该方法将NMO校正和共同转换点(CCP)合并与一组试验γ (Vp/Vs)值相结合,从而减少了近似渐近转换点(ACP)合并方法引入的误差。该方法已成功应用于加拿大西部和哥伦比亚山麓地区的纵波和c波场数据。栈前和栈后都有好处。使用这些修正方程处理的合成和现场数据的叠加剖面显示出更好的聚焦和事件连续性。此外,由于移动校正集上的事件更平坦,因此可以保留更长的偏移量用于AVO分析。改进的聚类也使残差静校正计算更加稳健。
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A Velocity Analysis Procedure for Multicomponent Data with Topographic Variations
We have modified the normal-moveout (NMO) equation for both P-wave and converted-wave (C-wave) data to handle surface elevation changes, and we have implemented this equation in our velocity analysis and NMO correction programs. For the C-wave case, we have also developed a new velocity analysis method that combines NMO correction and common conversion point (CCP) binning with a set of trial γ (Vp/Vs) values, thereby reducing errors introduced by the approximate asymptotic conversion point (ACP) binning method. This procedure has been successfully applied to P-wave and C-wave field data from western Canada and the Colombian Foothills. The benefits are both prestack and poststack. Stacked sections from synthetic and field data that have been processed using these modified equations show better focusing and event continuity. Furthermore, since the events on the moveout-corrected gathers are flatter, longer offsets can be retained for AVO analysis. The improved gathers also enable a more robust residual statics calculation.
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