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Joint imaging with streamer and ocean bottom data

Mandy Wong, Shuki Ronen, and Biondo Biondi


In the past we have shown that up-going and down-going (mirror) imaging can be combined in a joint inversion. We extend the method to joint-inversion of nodes and streamers data. Compared to conventional post-imaging merging, the joint inversion enhances resolution, suppresses migration artifacts, and more importantly, brings up the relative amplitude of true reflectors in the subsurface. We present a linearized inversion scheme for imaging narrow-azimuth and ocean-bottom data. We demonstrate the concept and methodology in 2D with a synthetic Marmousi model.