Multi-parameter full-waveform inversion: the influence of the parameterizationMS67

In multi-parameter full-waveform inversion (FWI) the choice of parameterization is fundamental to correctly separate the different parameter classes. We investigate the influence of the parameterization on the parameter separation for an elastic isotropic FWI problem from a mathematical standpoint. We also study this influence numerically using a simple model containing multiple anomalies in each parameter class positioned at different locations.

This presentation is part of Minisymposium “MS67 - Advances and new directions in seismic imaging and inversion (3 parts)
organized by: Mauricio Sacchi (University of Alberta) , Sergey Fomel (University of Texas, Austin) , Laurent Demanet (MIT ) .

Ettore Biondi (Stanford University)
full-waveform inversion, inverse problems, nonlinear optimization