Dip-angle image filtering for 4D processing of towed-streamer and OBN datasets

Although good for time-lapse monitoring, ocean-bottom surveys often miss the first time-step of initial fluid production. To capture this it is necessary to co-process ocean-bottom data with the exploration dataset, usually towed streamer. Our North Sea study has significant 4D noise produced by un-cancelled migration operator from the very different, irregular, survey geometries after 4D binning. We migrate to common-offset, scattering-angle, and dip-angle output domains to explore similarity-filtering strategies with the data. Both the scattering- and dip-angle gathers respond well to similarity filtering, but results show greatest signal continuity and coherence when dip-angle gathers are used.