B037 Advantages and Challenges of Wide Azimuth Data for 3D SRME D. Lin* (CGGVeritas) W. Lin (CGGVeritas) & B. VerWest (CGGVeritas) SUMMARY We use a synthetic dataset to demonstrate that 3D SRME is still effective and important for wide azimuth data. The wide distribution of azimuths actually helps 3D SRME processing with trace reconstruction by replacing extrapolations with interpolations. Therefore better predictions can be obtained from wide azimuth data compared to those obtained from narrow azimuth data. Migration results show that the stacking power of wide azimuth data suppresses multiples but leaves significant amount of multiple noise in the images.


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