1887

Abstract

Summary

Generally, the local full-waveform inversion (LFWI) is solved in a deterministic framework, in which a single solution is produced, without quantifying its uncertainties. We propose a multi-step strategy for uncertainty estimation in FWI and we demonstrate its applicability to the acoustic 2D Marmousi model. To cast the LFWI in a probabilistic framework, we use a genetic algorithm driven optimization, combined with a Markov chain Monte Carlo method (Gibbs sampler). The so derived posterior probability distribution (PPD) defines a possible set of starting models for subsequent LFWI which, in turn, transforms the initial set of starting models in a new set of final models exhibiting narrower PPDs and containing the true model.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201601543
2016-05-31
2020-03-31
Loading full text...

Full text loading...

References

  1. Aleardi, M., and Mazzotti, A.
    [2014]1D Elastic Full-waveform inversion and uncertainty estimation by means of a hybrid genetic-algorithm-gibbs-sampler approach. 77th EAGE Conference and Exhibition 2015. DOI: 10.3997/2214‑4609.20140858.
    https://doi.org/10.3997/2214-4609.20140858 [Google Scholar]
  2. Fernández-Martínez, J.L., Fernández Muñiz, Z., Tompkins, M.J.
    [2012] On the Topography of the Cost Functional in Linear and Nonlinear Inverse Problems, Geophysics, 77(1), W1–W15
    [Google Scholar]
  3. Sajeva, A., Bienati, N., Aleardi, M., Stucchi, E., and Mazzotti, A.
    [2014] Estimating velocity macro-models using stochastic full-waveform inversion. SEG Technical Program Expanded Abstracts, 1227–1231.
    [Google Scholar]
  4. Sambridge, M.
    [1999] Geophysical Inversion with a Neighbourhood Algorithm--II. Appraising the Ensemble. Geophysical Journal International, 138(3), 727–746.
    [Google Scholar]
  5. Tognarelli, A., Stucchi, E., Bienati, N., Sajeva, A., Aleardi, M. and Mazzotti, A.
    [2015]. Two-grid Stochastic Full Waveform Inversion of 2D Marine Seismic Data. 77th EAGE Conference and Exhibition 2015, DOI: 10.3997/2214‑4609.201413197.
    https://doi.org/10.3997/2214-4609.201413197 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201601543
Loading
/content/papers/10.3997/2214-4609.201601543
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error