Joint imaging with Streamer and OBN data

Combined ocean bottom nodes and streamer surveys offer the best of both methods: the economy of streamers and the ability of nodes to cover obstructed areas. In the past we shown that up-going and down-going (mirror) imaging can be combined in a joint inversion. We have now extend the method to jointinversion of nodes and streamers data. Compared to conventional post-imaging merging, the joint inversion enhances resolution, suppresses migration artifacts, and more importantly, bring up the relative amplitude of true reflectors in the subfurface. We present a linearized inversion scheme for imaging narrow-azimuth (NAZ) and ocean-bottom data. Linearized inversion can enhance the resolution of the image, suppress migration artifacts, and increase the relative amplitude of true reflectors in the subsurface. We show that joint inversion can coherently combines the information from the two surveys and improve the image substantially. We demonstrate the concept and methodology in 2D with a synthetic Marmousi model.