A numerical study of multi-parameter full waveform inversion with iterative regularization using multi-frequency vibroseis data

Jia Shi, Elena Beretta, Maarten V. de Hoop, Elisa Francini, Sergio Vessella

Research output: Contribution to journalArticle

Abstract

We study the inverse boundary value problem for time-harmonic elastic waves, for the recovery of P- and S-wave speeds from vibroseis data or the Neumann-to-Dirichlet map. Our study is based on our recent result pertaining to the uniqueness and a conditional Lipschitz stability estimate for parametrizations on unstructured tetrahedral meshes of this inverse boundary value problem. With the conditional Lipschitz stability estimate, we design a procedure for full waveform inversion (FWI) with iterative regularization. The iterative regularization is implemented by projecting gradients, after scaling, onto subspaces associated with the mentioned parametrizations yielding Lipschitz stability. The procedure is illustrated in computational experiments using the continuous Galerkin finite element method of recovering the rough shapes and wave speeds of geological bodies from simple starting models, near and far from the boundary, that is, the free surface.

Original languageEnglish (US)
JournalComputational Geosciences
DOIs
StateAccepted/In press - Jan 1 2019

Fingerprint

Lipschitz Stability
Iterative Regularization
vibroseis
Waveform
Boundary value problems
Inverse Boundary Value Problem
Conditional Stability
Numerical Study
Inversion
Stability Estimates
Wave Speed
Parametrization
Elastic waves
Convergence of numerical methods
Dirichlet-to-Neumann Map
Tetrahedral Mesh
Galerkin Finite Element Method
Unstructured Mesh
Elastic Waves
elastic wave

Keywords

  • Finite element method
  • Full waveform inversion
  • Stability and convergence

ASJC Scopus subject areas

  • Computer Science Applications
  • Computers in Earth Sciences
  • Computational Theory and Mathematics
  • Computational Mathematics

Cite this

A numerical study of multi-parameter full waveform inversion with iterative regularization using multi-frequency vibroseis data. / Shi, Jia; Beretta, Elena; de Hoop, Maarten V.; Francini, Elisa; Vessella, Sergio.

In: Computational Geosciences, 01.01.2019.

Research output: Contribution to journalArticle

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