1887

Abstract

Summary

In this work, we illustrate an example of acoustic 2D FWI on a real data set extracted from a 3D volume. The FWI is carried out in two successive steps. The first step is based on a global optimization procedure that makes use of genetic algorithms. It is aimed at the estimation of a velocity model close enough to the global minimum such that the second step, based on a local optimization, quickly converges to the optimal solution. The local step also increases the resolution of the estimated velocity field. An L1-norm misfit function, computed on the envelope of the observed and synthetic data to avoid cycle-skipping effects, is used to increase the robustness of the solution. A low-velocity region at approximately 1.2 km depth is observed in the global inversion that is better detailed by the local inversion. The alignment of the CIGs at shallow depth after Kirchhoff pre-stack depth migration supports these results that are obtained with a very limited manpower effort.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201800887
2018-06-11
2024-03-29
Loading full text...

Full text loading...

References

  1. Fichtner, A.
    [2011] Full Seismic Waveform Modelling and Inversion. Springer Science & Business Media.
    [Google Scholar]
  2. GaluzziB., ZampieriE., StucchiE.
    [2017] A local adaptive method for the numerical approximation in seismic wave modelling. Communications in Applied and Industrial Mathematics, 8, no. 1, pp. 265–281.
    [Google Scholar]
  3. MazzottiA., BienatiN., StucchiE., TognarelliA., AleardiM. and SajevaA.
    [2017] Two-grid genetic algorithm full-waveform inversion. The Leading Edge, 35, no. 12, pp. 1068–1075.
    [Google Scholar]
  4. PlessixR.
    [2006] A review of the adjoint-state method for computing the gradient of a functional with geophysical applications. Geophysical Journal International, 167, no. 2, pp. 495–503.
    [Google Scholar]
  5. Sajeva, A., Bienati, N., Aleardi, M., Stucchi, E., Bienati, N. and Mazzotti, A.
    [2016] Estimation of acoustic macro-models using a genetic full-waveform inversion: applications to the Marmousi model. Geophysics, 81, no. 4, pp. R173–R184.
    [Google Scholar]
  6. 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 Conference & Exhibition, EAGE, Expanded Abstract.
    [Google Scholar]
  7. Virieux, J. and Operto, S.
    [2009] An overview of full waveform inversion in exploration geophysics. Geophysics, 74, no. 6, pp. 27–152.
    [Google Scholar]
  8. Warner, M., GuaschL.
    [2016] Adaptive waveform inversion: Theory. Geophysics, 81, no. 6, R429–R445.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800887
Loading
/content/papers/10.3997/2214-4609.201800887
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