Application of an RBF-FD solver for the Helmholtz equation to full-waveform inversion

TL;DR

This paper demonstrates the application of an RBF-FD solver on hexagonal grids for full waveform inversion, improving subsurface parameter reconstruction in seismic imaging using benchmark models.

Contribution

It introduces a novel RBF-FD solver approach for the Helmholtz equation within FWI, utilizing hexagonal grids and quasi-optimal shape parameters for enhanced accuracy.

Findings

Successful application to Marmousi and BP models

Improved accuracy in subsurface parameter reconstruction

Efficient forward modeling with RBF-FD solver

Abstract

Full waveform inversion (FWI) is one of a family of methods that allows the reconstruction of earth subsurface parameters from measurements of waves at or near the surface. This is a numerical optimization problem that uses the whole waveform information of all arrivals to update the subsurface parameters that govern seismic wave propagation. We apply FWI in the multi-scale approach on two well-known benchmarks: Marmousi and 2004 BP velocity model. For the forward modeling, we use an RBF-FD solver on hexagonal grids and quasi-optimal shape parameters.