Reflection-based full waveform inversion (RFWI) in the frequency domain

Abstract

In this paper, following the recent work of Xu et al. (2012b, a), we implement the Reflection-based Full Waveform Inversion (RFWI) in the frequency domain, by taking advantage of a massively parallel direct matrix solver. The earth model is splitted into a long wavelength part (background model) and a short wavelength part (reflectivity model). At each iteration, we update the background model by resorting to a demigration process on the reflectivity model obtained from migration. We make use of a 2D synthetic lens model to validate our workflow, and demonstrate that low frequency data is essential.