1887

Abstract

Summary

Near-surface characterization is an important part of the land seismic data processing workflow. Conventional approaches rely on refracted waves and estimate the compressional velocity models from the tomography of the first-break traveltimes.

Seismic tomography, while extremely powerful for resolving subsurface velocity variability, produces inherently nonunique solutions. The inverse problem it attempts to solve requires the input of a-priori information to find a realistic solution. We can constrain our solution early in the inversion process by incorporating this information during building the initial model.

We present a data-driven approach to derive the initial velocity model for a refraction tomography workflow in an automated fashion, reducing the amount of subjectivity that influences the starting model definition. We demonstrate the technique using a synthetic, but realistic, 3D example.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201901227
2019-06-03
2024-04-23
Loading full text...

Full text loading...

References

  1. Glushchenko, A., El-Emam, A., Zahran, w., Re, S., Strobbia, C., and De Stefano, M.
    [2012] Near surface characterization through simultaneous joint inversion of surface waves and refracted waves. 74th Conference and Exhibition, EAGE, Extended Abstracts, C013.
    [Google Scholar]
  2. Ivanov, J., Miller, R.D., Xia, J., Steeples, D., and Park, C.B.
    [2005] The inverse problem of refraction travel times, Part I: Types of geophysical nonuniqueness through minimization. Pure and Applied Geophysics, 162, 447–459.
    [Google Scholar]
  3. Kanlı, A.I.
    [2009] Initial velocity model construction of seismic tomography in near-surface applications. Journal of Applied Geophysics, 67, 52–62.
    [Google Scholar]
  4. Mantovani, M., Clementi, M., and Ceci, F.
    [2013] Use of simultaneous joint inversion as a maximum concordance solver for statics. 75th Conference and Exhibition, EAGE, Extended Abstracts, Th 01 03.
    [Google Scholar]
  5. Noori, M., Shadizadeh, S.R., Riahi, M.A., and Jamali, J.
    [2012] The effect of initial velocity model accuracy on refraction tomography velocity model in Sefid-Zakhor gas field, Iran. Journal of American Science, 8.
    [Google Scholar]
  6. Osypov, K.
    [2001] Refraction tomography: a practical overview of emerging technologies. February Technical Luncheon, CSEG Recorder, 5–8.
    [Google Scholar]
  7. Sheriff, R.E., and Geldart, L.P.
    [1982] Exploration Seismology. Cambridge University Press
    [Google Scholar]
  8. Speziali, M., Re, S., Clementi, M., Herrera, L.V., Al Quadi, A., and Mosa, M.M.
    [2014] Near-surface characterization using simultaneous joint inversion of refracted and surface waves-A case study. 76th Conference and Exhibition, EAGE, Extended Abstracts, We D201 11
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201901227
Loading
/content/papers/10.3997/2214-4609.201901227
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