P037 Automatic Dense High Order RMO Picking R. Siliqi* (CGGVeritas) P. Herrmann (CGGVeritas) A. Prescott (CGGVeritas) & L. Capar (CGGVeritas) SUMMARY The semblance based automatic dense pickings of Residual Move Out curves (RMO) proved to be a very efficient technique but they are generally limited to the estimation of their curvature. The estimation of the misfocusing of the migrated seismic reflection is routinely done during the prestack imaging process but the anisotropy is not fully resolved using only the RMO curvature. So we are turning to the multiparameter scan thus gaining the benefit of uncorrelated scanning parameters which fully describes


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