Image Stackings with High Resolution in Geophysical Seismic Data Processing

S. Wang (PRC), P. Rabinowitz, and C. Sun (USA)


Signal, imaging, correlation, noise, processing


Near surface velocity and layer thickness variation cause time anomalies, or noise in geophysical seismic data processing that can be approximated as surface-consistent static time shifts. The conventional methods for residual static estimation, removing noise are based on Normal MoveOut (NMO) corrected data. However, pre-stack Kirchhoff time or depth imaging is to time shift all input traces within the migration aperture for aligning their reflection events horizontally. This method requires a good velocity model without structure assumptions, before stacking for generating Common Imaging Gather (CIG). These time-shifting traces provide a powerful dataset to estimate the noise level and maximizing the stack power of a CIG stack by using the correlation approach. Also, imaging sections by applying the residual error corrections at CIG can provide us with high solution imaging compared to the conventional methods. Using this approach into the model and real data shows us that the reflection event continuities and imaging resolution of the pre-stack Kirchhoff migrations are improved.

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