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A method for 3D surface-related multiple prediction (SRMP) is suggested. It uses both raw common source gathers and azimuth-dependent inverse-NMO corrected traces of a stack cube, or a CMP gather, to produce common-source gathers of multiples. The application of the method is illustrated on a complex real dataset.