1887

Abstract

Summary

Full Waveform Inversion (FWI) is a high-resolution seismic imaging tool which has been intensively developed during the past decade. At the near surface scale, FWI faces several challenges including 3D acquisition deployment, a strong presence of elastic effects, relatively high attenuation effects, and difficulties to propagate high-frequency waves. In order to better characterize such shallow targets, one of the solutions is to take into account data from multi-component sources and receivers. In this study, we analyze the benefit of 3x3C seismic data: 3x3C seismic is an acquisition technique which contains three orthogonal directions of the source and three component receivers. Although 3x3C seismic is feasible in practice, the benefit of such data for FWI is still not clear. This research uses two different synthetic models to assess the interest of 3x3C seismic data through the construction and analysis of the sensitivity kernel of both P-wave and S-wave velocities for each wave type (P-wave, S-wave, and surface wave), and each component. The results show that 3x3C data provide complementary information on the kinematic, dynamic and polarization of the wave propagation, yielding a potentially better reconstruction of the subsurface properties.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201800418
2018-04-09
2024-04-25
Loading full text...

Full text loading...

References

  1. Komatitsch, D. and Tromp, J.
    [1999] Introduction to the spectral element method for three-dimensional seismic wave propagation. Geophysical Journal International, 139(3), 806–822.
    [Google Scholar]
  2. Komatitsch, D. and Vilotte, J.P.
    [1998] The spectral element method: an efficient tool to simulate the seismic response of 2D and 3D geological structures. Bulletin of the Seismological Society of America, 88, 368–392.
    [Google Scholar]
  3. Lailly, P.
    [1983] The seismic inverse problem as a sequence of before stack migrations. In: Bednar, R. and Weglein (Eds.) Conference on Inverse Scattering, Theory and application, Society for Industrial and Applied Mathematics, Philadelphia. 206–220.
    [Google Scholar]
  4. Masoni, I., Boelle, J.L., Brossier, R. and Virieux, J.
    [2016] Layer stripping FWI for surface waves. In: SEG Technical Program Expanded Abstracts 2016. 1369–1373.
    [Google Scholar]
  5. Nuber, A., Manukyan, E. and Maurer, H.
    [2017] Optimizing measurement geometry for seismic near-surface full waveform inversion. Geophysical Journal International, 210(3), 1909–1921.
    [Google Scholar]
  6. Plessix, R.E.
    [2006] A review of the adjoint-state method for computing the gradient of a functional with geophysical applications. Geophysical Journal International, 167(2), 495–503.
    [Google Scholar]
  7. Schmelzbach, C., Sollberger, D., Greenhalgh, S., Horstmeyer, H., Maurer, H. and Robertsson, J.
    [2016] 9C seismic data acquisition for near-surface applications: recording, waveform reciprocity and 4C rotation. In: 78th EAGE Conference and Exhibition 2016-Workshops.
    [Google Scholar]
  8. Tarantola, A.
    [1984] Linearized inversion of seismic reflection data. Geophysical Prospecting, 32, 998–1015.
    [Google Scholar]
  9. Trinh, P.T., Brossier, R., Métivier, L., Tavard, L. and Virieux, J.
    [2017] Efficient 3D elastic FWI using a spectral-element method. In: 87th SEG Conference and Exhibition 2017, Houston.
    [Google Scholar]
  10. Tromp, J., Tape, C. and Liu, Q.
    [2005] Seismic tomography, adjoint methods, time reversal and banana-doughnut kernels. Geophysical Journal International, 160, 195–216.
    [Google Scholar]
  11. Virieux, J. and Operto, S.
    [2009] An overview of full waveform inversion in exploration geophysics. Geophysics, 74(6), WCC1–WCC26.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800418
Loading
/content/papers/10.3997/2214-4609.201800418
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