Joint least-squares inversion of up- and down-going signal for ocean bottom data sets

Abstract:

We present a joint least-squares inversion method for imaging the acoustic primary (up-going) and mirror (down-going) signals for ocean-bottom seismic processing. Joint inversion combines the benefits of wider illumination from the mirror signal and better signal-to-noise ratio from the primary signal into one image. Results from two modified 2D Marmousi models show a better illumination of the subsurface and improved resolution in geologically complex areas.