1887

Abstract

Summary

Tomographic model building attempts to improve the quality of earth models by inspecting the image summation coherency and adjusting model velocities to correct for summation misalignments. Beam tomography operates using similar alignment principles. However, instead of using the standard measurement of misalignment between offset ranges, beam tomography measures the misalignment between individual beams and the image formed by summation of all the beams. Just as for standard tomography, the measurements of beam misalignments are often ambiguous because of noise and cycle skips. Our beam tomography approaches this difficulty by using a Markov-chain, Monte Carlo, global optimization method. Instead of representing the misalignment of a beam by a single shift value, a cross-correlation between a beam and the image is computed over a range of shifts. Earth-model velocities are then updated by using tomographic back-projection and a simulated annealing process to optimize the image coherency. In addition to its data-driven modeling building capability, our Beam Tomography is able to incorporate interpretive information in the tomography process as well. In this abstract, we shall demonstrate the effectiveness of the Beam Tomography technology with synthetic and field examples.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201901526
2019-06-03
2020-04-05
Loading full text...

Full text loading...

References

  1. Cerveny, V.
    [2001] Seismic Ray Theory. Cambridge University Press
    [Google Scholar]
  2. Hill, N. R.
    [2001] Prestack Gaussian-beam depth migration. Geophysics, 66, special section, 1240–1250.
    [Google Scholar]
  3. [2009] Method and system for seismic imaging and earth modeling using beam tomography. United States Patent, Patent No. 9,013,956 B2.
    [Google Scholar]
  4. Nowack, R. L. and Aki, K.
    [1986] Iterative inversion for velocity using waveform data, Geophys. J. R. asti. Soc., 87, 701–730.
    [Google Scholar]
  5. Popov, M. M., Semtchenok, N. M., Popov, P. M. and Verdel, A. R.
    [2008] Reverse Time Migration with Gaussian Beams and Velocity Analysis Applications. 70th EAGE Conference & Exhibition, Extended Abstracts, F048.
    [Google Scholar]
  6. Rothman, D. H.
    [1986] Automatic estimation of large residual statics corrections, Geophysics, Vol 51, No. 2.
    [Google Scholar]
  7. Sherwood, J., Jiao, J., Tieman, H., Sherwood, K., Zhou, C., Lin, S. and Brandsberg-Dalh, S.
    [2011] Hybrid tomography based on beam migration, SEG 2011 Annual Meeting, Extended Abstracts.
    [Google Scholar]
  8. Stork, C. and ClaytonR. W.
    [1991] Linear aspects of tomographic velocity analysis, Geophysics, Vol 56, No. 4.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201901526
Loading
/content/papers/10.3997/2214-4609.201901526
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