1887

Abstract

Summary

We compare the results from the application of a standard implementation of elastic full-waveform inversion (EFWI) with those from an amplitude versus angle (AVA) inversion to predict elastic models. The tests are carried out on synthetic seismograms from the Marmousi-2 model, considering the pressure component data only, thus simulating towed-streamer seismic marine data. EFWI is performed by applying a time-domain EFWI with a steepest-descent optimization. After a basic processing sequence, which includes pre-stack time-migration, the seismic data have been AVA-inverted by applying a Bayesian linear inversion. The same low-frequency velocity field, obtained by smoothing the true Marmousi-2 model, has been used as the starting model for EFWI and as the low frequency trend for AVA inversion. Both inversion strategies provide accurate Vp estimates, but the AVA inversion yields more correct predictions of Vs in the gas-reservoir. It seems that the error minimization in EFWI is dominated by the acoustic information (particularly diving waves) and the elastic information present in the data is not enough to drive the inversion towards the correct estimation of Vs when they are not directly correlated with Vp. Thus, more advanced EFWI implementations and/or inversion strategies are needed when dealing with single-component pressure seismograms.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201801228
2018-06-11
2024-03-28
Loading full text...

Full text loading...

References

  1. Aleardi, M., and Ciabarri, F.
    [2017] Assessment of different approaches to rock-physics modeling: A case study from offshore Nile Delta. Geophysics, 82(1), MR15–MR25. doi:10.1190/geo2016‑0194.1
    https://doi.org/10.1190/geo2016-0194.1 [Google Scholar]
  2. Aleardi, M., Ciabarri, F., and Mazzotti, A.
    [2017] Probabilistic estimation of reservoir properties by means of wide-angle AVA inversion and a petrophysical reformulation of the Zoeppritz equations. Journal of Applied Geophysics, 147, 28–41. doi:10.1016/j.jappgeo.2017.10.002
    https://doi.org/10.1016/j.jappgeo.2017.10.002 [Google Scholar]
  3. Aleardi, M., and Mazzotti, A.
    [2017] 1D elastic full-waveform inversion and uncertainty estimation by means of a hybrid genetic algorithm-Gibbs sampler approach. Geophysical Prospecting, 65(1), 64–85. doi:10.1111/1365‑2478.12397
    https://doi.org/10.1111/1365-2478.12397 [Google Scholar]
  4. 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(5), 449–460. doi:10.3997/1873‑0604.2016030
    https://doi.org/10.3997/1873-0604.2016030 [Google Scholar]
  5. Buland, A., and Omre, H.
    [2003] Bayesian linearized AVO inversion. Geophysics, 68(1), 185–198.
    [Google Scholar]
  6. Chi, B., Dong, L., and Liu, Y.
    [2015] Correlation-based reflection full-waveform inversion. Geophysics, 80(4), R189–R202. doi:10.1190/geo2014–0345.1
    https://doi.org/10.1190/geo2014–0345.1 [Google Scholar]
  7. Kamath, N., and Tsvankin, I.
    [2016] Elastic full-waveform inversion for VTI media: Methodology and sensitivity analysis. Geophysics, 81(2), C53–C68. doi:10.1190/geo2014–0586.1
    https://doi.org/10.1190/geo2014–0586.1 [Google Scholar]
  8. Martin, G. S., Wiley, R., and Marfurt, K. J.
    [2006] Marmousi-2: An elastic upgrade for Marmousi. The Leading Edge, 25, 156–166. doi:10.1190/1.2172306
    https://doi.org/10.1190/1.2172306 [Google Scholar]
  9. Mazzotti, A.
    [1990] Prestack amplitude analysis methodology and application to seismic bright spots in the Po Valley, Italy. Geophysics, 55, 157–166. doi:10.1190/1.1442822
    https://doi.org/10.1190/1.1442822 [Google Scholar]
  10. MazzottiA., BienatiN., StucchiE., TognarelliA., AleardiM. and SajevaA.
    [2016] Two-grid genetic algorithm full-waveform inversion. The Leading Edge, 35, 1068–1075. doi:10.1190/tle35121068.1
    https://doi.org/10.1190/tle35121068.1 [Google Scholar]
  11. Naeini, E. Z., Alkhalifah, T., Tsvankin, I., Kamath, N., and Cheng, J.
    [2016] Main components of full-waveform inversion for reservoir characterization. First break, 34(11), 37–48. doi:10.3997/1365‑2397.2016015
    https://doi.org/10.3997/1365-2397.2016015 [Google Scholar]
  12. Operto, S., Gholami, Y., Prieux, V., Ribodetti, A., Brossier, R., Metivier, L., and Virieux, J.
    [2013] A guided tour of multiparameter full-waveform inversion with multicomponent data: From theory to practice. The Leading Edge, 32(9), 1040–1054. doi:10.1190/tle32091040.1
    https://doi.org/10.1190/tle32091040.1 [Google Scholar]
  13. Ostrander, W. J.
    [1984] Plane-wave reflection coefficients for gas sands at non-normal angles of incidence. Geophysics, 49, 1637–1648. doi:10.1190/1.1441571
    https://doi.org/10.1190/1.1441571 [Google Scholar]
  14. Prieux, V., Brossier, R., Operto, S., and Virieux, J.
    [2013] Multiparameter full waveform inversion of multicomponent ocean-bottom-cable data from the Valhall field. Part 2: Imaging compressive-wave and shear-wave velocities. Geophysical Journal International, 194(3), 1665–1681.
    [Google Scholar]
  15. Ren, Z., and Liu, Y.
    [2016] A hierarchical elastic full-waveform inversion scheme based on wavefield separation and the multistep-length approach. Geophysics, 81(3), R99–R123.
    [Google Scholar]
  16. Sajeva, A., 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(4), 173–184. doi:10.1190/GEO2015‑0198.1
    https://doi.org/10.1190/GEO2015-0198.1 [Google Scholar]
  17. Sears, T. J., Barton, P. J., and Singh, S. C.
    [2010] Elastic full waveform inversion of multicomponent ocean-bottom cable seismic data: Application to Alba Field, UK North Sea. Geophysics, 75(6), R109–R119. doi:10.1190/1.3484097
    https://doi.org/10.1190/1.3484097 [Google Scholar]
  18. 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. doi: 10.3997/2214‑4609.201413197.
    https://doi.org/10.3997/2214-4609.201413197 [Google Scholar]
  19. Vigh, D., Jiao, K., Watts, D., and Sun, D.
    [2014] Elastic full-waveform inversion application using multicomponent measurements of seismic data collection. Geophysics, 79(2), R63–R77. doi:10.1190/geo2013–0055.1
    https://doi.org/10.1190/geo2013–0055.1 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201801228
Loading
/content/papers/10.3997/2214-4609.201801228
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