Source-domain full waveform inversion

Abstract

Conventional full waveform inversion (FWI) updates a velocity model, by minimizing the data residuals between the forward-propagating source wavefield and the forward time observed data, at the receiver positions. We propose an alternative inversion algorithm to update the velocity model by minimizing the virtual source artifacts in the source domain (SFWI). We first define a source-receiver wavefield, which is extrapolated by reinserting the forward-time observed data as boundary-value conditions, at the receiver positions, along with the forward-time propagation of the source wavefield from the source point, so the data residuals are forced to be zero at each time step. If the velocity model is incorrect, the source-receiver wavefield will contain artifact waves, which are created by the mismatch between the reinserted observed data and the extrapolated source wavefield. By extracting and minimizing virtual source artifacts, which is equivalent to creating the artifact waves, the velocity model will be iteratively updated toward the true velocity model. Tests on synthetic data show that the source-domain FWI inverts for the velocity model as accurately as the conventional FWI. Presentation Date: Monday, September 16, 2019 Session Start Time: 1:50 PM Presentation Time: 3:05 PM Location: Poster Station 9 Presentation Type: Poster