Various converted-wave binning methods (CMP, asymptotic CCP, depth-variant CCP, and PSV DMO) were applied to a synthetic PSV seismic data set, modeled after the Highwood Structure of SW Alberta. The effect of reversing the polarity of the trailing spread is also considered. It is found that depth-variant CCP binning and PSV DMO give the best results. Asymptotic CCP binning, with reversal of the trailing spread, is better than CMP binning with no polarity reversals, while being quicker than depth-variant CCP binning and PSV DMO.
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