1887

Abstract

Summary

In regions with complex near-surface conditions, a significant part of the structural uncertainty is associated with the shallow part of the subsurface. This work presents a simplified but practical workflow to quantify the impact of near-surface modeling and imaging scenarios on structural maps. The method is based on a typical processing flow and can be implemented straightforwardly in a processing practice. Using a controlled synthetic example of the SEAM Arid dataset, we focus on the effects of the near-surface complexities of the desert environment. Specifically, we reveal the typical, expected structural uncertainty caused by static corrections approximation and time-to-depth mapping approach.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202310388
2023-06-05
2026-02-10
Loading full text...

Full text loading...

References

  1. Bakulin, A., and Silvestrov, I. [2021]. Understanding acquisition and processing challenges in the desert environment through SEAM Arid and Barrett models, SEG Technical Program Expanded Abstracts, 2824–2828.
    [Google Scholar]
  2. Bakulin, A., Silvestrov, I., and Leger, P. [2022]. Closing the loop between acquisition and processing: Data-driven volumetric SNR estimation versus acquisition design predictions, SEG Technical Program Expanded Abstracts, 46–50.
    [Google Scholar]
  3. Egorov, A., Silvestrov, I., Bakulin, A. [2022]. Effect of vertical arrays on near-surface velocity and statics uncertainty, 83rd EAGE Annual Conference & Exhibition 2022, 1–5
    [Google Scholar]
  4. Jones, I. F., Felicio, R., VlassopoulouA., HagenC. [2019]. Tutorial: tomographic Bayesian uncertainty estimation. First Break, 37(9), p. 37–48.
    [Google Scholar]
  5. Oristaglio, M. [2012]. SEAM phase II—Land seismic challenges: The Leading Edge, 31, 264–266.
    [Google Scholar]
  6. Osypov, K., Yang, Y., Fournier, A., Ivanova, N., Bachrach, R., Yarman, C.E., You, Y., Nichols, D., Woodward, M., [2013]. Model-uncertainty quantification in seismic tomography: method and Applications. Geophysical Prospecting, 61, 1114–1134
    [Google Scholar]
  7. Thore, P., Shtuka, A., Lecour, M., Ait-Ettajer, T. and Cognot, R. [2002]. Structural uncertainties: Determination, management, and applications. Geophysics, 67, (3), 840–852.
    [Google Scholar]
/content/papers/10.3997/2214-4609.202310388
Loading
/content/papers/10.3997/2214-4609.202310388
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