Mandy Wong

Least‐squares reverse time migration/inversion for ocean bottom data: A case study

We present a method based on least-squares reverse time migration/inversion (LSRTM) for imaging ocean bottom data. We show that by using LSRTM, we not only enhance the resolution of the image, suppress the migration artifacts, and more importantly, bring up the relative amplitude of true reflectors in the subsurface. This method can also be extended to image with higher-order multiples. In certain geometry LSRTM with multiples can further improve the image with a bigger aperture. We demonstrate the concept and methodology in 2D and apply our proposed scheme to an ocean bottom field survey located in the northern Cascadia continental margin.

Joint Least-squares Inversion of Up- And Down-going Signal For Ocean Bottom Data Sets

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.