1887

Abstract

Summary

High-resolution velocity models generated by full-waveform inversion (FWI) can be effectively used in seismic reservoir characterization. However, FWI in elastic anisotropic media is hampered by the nonlinearity of inversion and parameter trade-offs. Here, we propose a robust way to constrain the inversion workflow using per-facies rock-physics relationships derived from borehole information (well logs). The advantages of the facies-based FWI are demonstrated on a 2D elastic TTI (transversely isotropic with a tilted symmetry axis) model with substantial structural complexity. In particular, the tests show that our algorithm improves the spatial resolution of the inverted medium parameters without using ultra-low-frequency data required by conventional FWI.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202010224
2020-07-15
2021-05-11
Loading full text...

Full text loading...

References

  1. Biondi, B. and AlmominA.
    [2014] Efficient and robust waveform-inversion workflow. SEG Technical Program Expanded Abstracts, 917–921.
    [Google Scholar]
  2. Kamath, N. and Tsvankin, I.
    [2016] Elastic full-waveform inversion for VTI media: Methodology and sensitivity analysis. Geophysics, 81(2), C53–C68.
    [Google Scholar]
  3. Kamath, N., TsvankinI. and Zabihi NaeiniE.
    [2017] Facies-constrained FWI: Toward application to reservoir characterization. The Leading Edge, 36(11), 924–930,
    [Google Scholar]
  4. Köhn, D., De NilD., KurzmannA., PrzebindowskaA. and BohlenT.
    [2012] On the influence of model parametrization in elastic full waveform tomography. Geophysical Journal International, 191(1), 325–345.
    [Google Scholar]
  5. Martin, G., Wiley, R. and Marfurt, K. J.
    [2006] Marmousi2: An elastic upgrade for Marmousi. The Leading Edge, 25(2), 156–166.
    [Google Scholar]
  6. Plessix, R.-E. and CaoQ.
    [2011] A parametrization study for surface seismic full waveform inversion in an acoustic vertical transversely isotropic medium. Geophysical Journal International, 185(1), 539–556.
    [Google Scholar]
  7. Singh, S., Tsvankin, I. and Zabihi Naeini, E.
    [2018] Bayesian framework for elastic full-waveform inversion with facies information. The Leading Edge, 37(12), 924–931.
    [Google Scholar]
  8. [2019] Bayesian approach to facies-constrained waveform inversion for VTI media. SEG Technical Program Expanded Abstracts, 1370–1374.
    [Google Scholar]
  9. Wang, H. and Tsvankin, I.
    [2018] Methodology of waveform inversion for acoustic orthorhombic media. Journal of Seismic Exploration, 27, 201–226.
    [Google Scholar]
  10. Wu, Z. and Alkhalifah, T.
    [2016] Waveform inversion for acoustic VTI media in frequency domain. SEG Technical Program Expanded Abstracts, 1184–1189.
    [Google Scholar]
  11. Zabihi Naeini, E., and ExleyR.
    [2017] Quantitative interpretation using facies-based seismic inversion. Interpretation, 5(3), 1–8.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202010224
Loading
/content/papers/10.3997/2214-4609.202010224
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