1887

Abstract

Summary

We present an experience of acoustic FWI on a noisy 2D land dataset to the end of providing a velocity model for direct geological interpretation. We first perform a dedicated processing trying to improve the data quality and we select as the input for the inversion direct, refracted and diving waves. In fact, notwithstanding the processing efforts, reflections are nearly absent. Next, we perform a sequence of FWIs. Since we wish to use the estimated velocity for the interpretation of the area, it is necessary that the estimation is not biased by unverified a-priori geological hypotheses. Therefore, to derive a low-resolution velocity model, we apply two runs of genetic-algorithm FWI (GA-FWI) with different data misfit functions based on envelopes and on waveforms. In fact, GA do not start from a given velocity model, thus risking to bias the final outcome, but from an ensemble of models randomly selected within large search ranges. The GA velocities are then used as starting model for a gradient-based FWI which yields an improved model, appropriate for evaluating different geological hypotheses. In two locations, the check-shot velocities of exploratory wells show a good matching with the 1D velocity profiles extracted from the final model.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900995
2019-06-03
2020-08-08
Loading full text...

Full text loading...

References

  1. Aleardi, M., Mazzotti, A., Tognarelli, A., Ciuffi, S., and Casini, M.
    [2015] Seismic and well log characterization of fractures for geothermal exploration in hard rocks. Geophysical Journal International, 203(1), pp. 270–283. doi:10.1093/gji/ggv286
    https://doi.org/10.1093/gji/ggv286 [Google Scholar]
  2. Aleardi, M., Tognarelli, A. and Mazzotti, A.
    [2016] Characterisation of shallow marine sediments using high-resolution velocity analysis and genetic-algorithm-driven 1D elastic full-waveform inversion. Near Surface Geophysics, 14, no. 5, pp. 449–460. doi:10.3997/1873‑0604.2016030
    https://doi.org/10.3997/1873-0604.2016030 [Google Scholar]
  3. Al-Yaqoobi, A. and Warner, M.
    [2013] Full waveform inversion – dealing with limitations of 3D onshore seismic data. 83th Annual international Meeting, SEG, Expanded Abstract.
    [Google Scholar]
  4. Bertini, G., Casini, M., Giannelli, G. and Pandeli, E.
    [2006] Geological structures of a long-living geothermal system, Larderello, Italy. Terra Nova, 18, pp. 163–169. doi: 10.1111/j.1365‑3121.2006.00676.x
    https://doi.org/10.1111/j.1365-3121.2006.00676.x [Google Scholar]
  5. Brossier, R., Operto, S. and Virieux, J.
    [2009] Seismic imaging of complex onshore structures by 2D elastic frequency-domain full-waveform inversion. Geophysics, 74, no. 6, WCC105–WCC118. doi: 10.1190/1.3215771
    https://doi.org/10.1190/1.3215771 [Google Scholar]
  6. Galuzzi, B., Tognarelli, A., Stucchi, E. and Mazzotti, A.
    [2016] Stochastic FWI on wide-angle land data with different order of approximation of the 2D acoustic wave equation. 78th Conference & Exhibition, EAGE, Extended Abstract. doi:10.3997/2214‑4609.201601189
    https://doi.org/10.3997/2214-4609.201601189 [Google Scholar]
  7. Guasch, L., Burgess, T., and Warner, M.
    , [2015] Optimised adaptive waveform inversion - improved convergence via conjugate gradients and superior step-length calculation. 77th Conference & Exhibition, EAGE, Extended Abstract.doi: 10.3997/2214‑4609.201413207
    https://doi.org/10.3997/2214-4609.201413207 [Google Scholar]
  8. Kormann, J.A., Marti, D., Rodriguez, J.E., Marzan, I., Ferrer, M., Hanzich, M., de la Puente, J., Carbonell, R., Cela, J.M. and Fernandez, S.
    [2016] 3D elastic full waveform inversion – on land study case. 78th Conference & Exhibition, EAGE, Extended Abstract. doi: 10.3997/2214‑4609.201600831
    https://doi.org/10.3997/2214-4609.201600831 [Google Scholar]
  9. 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]
  10. Plessix, R. E., Baeten, G., de Maag, J. W., Klaassen, M., Rujie, Z. and Zhifei, T.
    [2010] Application of acoustic full waveform inversion to a low-frequency large-offset land data set. 80th Annual international Meeting, SEG, Expanded Abstract.doi: 10.1190/1.3513930
    https://doi.org/10.1190/1.3513930 [Google Scholar]
  11. 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. doi:10.1190/geo2015‑0198.1
    https://doi.org/10.1190/geo2015-0198.1 [Google Scholar]
  12. Scrocca, D., Doglioni, C., Innocenti, F., Manetti, P., Mazzotti, A., Bertelli, L., Burbi, L., D’Offizi, S.
    , [2003] CROP ATLAS: seismic reflection profiles of the Italian crust. MemorieDescrittivedella Carta Geologicad’Italia62, 15–46.
    [Google Scholar]
  13. Sirgue, L., Barkved, O.I., Dellinger, J., Etgen, J., Albertin, U. and Kommedal, J.H.
    [2010] Full waveform inversion: The next leap forward in imaging at Valhall. First Break, 28, 65–70.doi: 10.3997/1365‑2397.2010012.
    https://doi.org/10.3997/1365-2397.2010012 [Google Scholar]
  14. 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, Extended Abstract. doi: 10.3997/2214‑4609.201413197
    https://doi.org/10.3997/2214-4609.201413197 [Google Scholar]
  15. Tognarelli, A., Aleardi, M. and Mazzotti, A.
    [2016] Estimation of a high resolution P-wave velocity model of the seabed layers by means of global and a gradient-based FWI. Second Applied Shallow Marine Geophysics Conference. Extended Abstract.doi:10.3997/2214‑4609.20160214
    https://doi.org/10.3997/2214-4609.20160214 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900995
Loading
/content/papers/10.3997/2214-4609.201900995
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