1887
  1. Home
  2. A-Z Publications
  3. Geophysical Prospecting
  4. Volume 72, Issue 2
  5. Article
Volume 72, Issue 2
  • E-ISSN: 1365-2478

Abstract

Abstract

Processing land seismic data, especially vibroseis data, is often challenging due to complicated near‐surface situations and source‐generated noise. The case study deals with noisy vibroseis data acquired in the Jaisalmer Basin. The near‐surface estimation in this area is difficult due to a possible velocity reversal manifested in the shingled patterns of the first breaks. The near‐surface workflow incorporates a model‐adaptive first break‐picking approach, essentially integrating two problems of first‐break‐picking and model estimation into a single problem. The signal‐conditioning workflow is based on cascaded scaling and single‐channel‐based noise reduction to prevent the removal of weak signals. Horizon‐based migration velocity analysis was used to focus reflectors on the constant velocity‐migrated stacks. This was particularly useful in areas with dubious velocity trends based on semblance panels. The velocity volume has structural consistency, which provides a better time‐migrated image. The workflow also incorporates a targeted post‐stack processing sequence to enhance continuity, sharpen discontinuities and improve the resolution, as notable by comparing the legacy‐processing results of the same dataset.

© 2024 European Association of Geoscientists & Engineers. © 2023 Geopic, ONGC and The Authors. Geophysical Prospecting published by John Wiley & Sons Ltd on behalf of European Association of Geoscientists & Engineers.
Loading

Article metrics loading...

/content/journals/10.1111/1365-2478.13432
2024-01-30
2025-06-24

  • From This Site

    /content/journals/10.1111/1365-2478.13432
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Colton, P. & Nautiyal, A. (1996) Cascaded dipole filters: extending the limits of seismic resolution. CSEG Recorder, 21(8), 1–17.
     [Google Scholar]
  2. Fomel, S. (2002) Applications of plane wave destructor filter. Geophysics, 67(6), 1946–1960.
     [Google Scholar]
  3. Hagedoorn, J.G. (1959) The Plus‐Minus method of interpreting seismic refraction sections. Geophysical Prospecting, 7(2), 158–182.
     [Google Scholar]
  4. Henley, D.C. (2003) Coherent noise attenuation in the radial trace domain. Geophysics, 68(4), 1408–1416.
     [Google Scholar]
  5. Khan, Z. & Khan, A.A. (2015) A review on lithostratigraphy and biostratigraphy of Jaisalmer Basin, western Rajasthan, India. International Research Journal of Earth Sciences, 3(8), 37–45.
     [Google Scholar]
  6. Le Muer, D. & Traonmilin, Y. (2008) Adaptive noise attenuation. In: SEG Annual Meeting. Houston, TX, SEG. pp. 3667–3670.
  7. Li, X. & Couzens, R. (2006) Attacking localized high amplitude noise in seismic data – a method for AVO compliant noise attenuation. CSEG Recorder, 31(1), 33––36.
     [Google Scholar]
  8. Marsden, D. (1993) Static corrections – a review, Part 1. The Leading Edge, 12(1), 43–49.
     [Google Scholar]
  9. Nicanoff, L., Perez, Y., Yilmaz, O., Dai, N. & Zhang, J. (2005) A case study for imaging complex structures in the Andean Thrust Belt of Bolivia. In: SEG Annual Meeting. Houston, TX, SEG. pp. 500–504.
  10. Palmer, D. (1981) An introduction to the generalized reciprocal method of seismic refraction interpretation. Geophysics, 46(11), 1508–1518.
     [Google Scholar]
  11. Pandey, R., Kumar, D., Maurya, A.S. & Pandey, P. (2019) Evolution of gas bearing structures in Jaisalmer Basin (Rajasthan), India. Journal of Indian Geophysical Union, 23, 398–407.
     [Google Scholar]
  12. Pandey, R., Kumar, D. & Maurya, A.S. (2019) Facies analysis, depositional environment and reservoir characterization of tertiary sequences, Jaisalmer Basin, Rajasthan. ONGC Bulletin, 54(1), 102–116.
     [Google Scholar]
  13. Ronen, J. & Claerbout, J.F. (1985) Surface‐consistent residual statics estimation by stack‐power maximization. Geophysics, 50(12), 2759–2767.
     [Google Scholar]
  14. Strobbia, C., Zarkhidze, A., May, R., Quigley, J. & Bilsby, P. (2011) Model‐based coherent noise attenuation for complex dispersive waves. In: SEG Annual Meeting. Houston, TX, SEG. pp. 3571–3574.
  15. Sun, M. & Zhang, J. (2013) Understanding of the first arrivals in the shape of a Christmas‐tree. In: SEG Annual Meeting. Houston, TX, SEG. pp. 1843–1845.
  16. Sun, M. & Zhang, J. (2020) The near‐surface velocity reversal and its detection via unsupervised machine learning. Geophysics, 85(3), U55–U63.
     [Google Scholar]
  17. Trickett, S. (2022) In search of the vibroseis first arrival. Geophysical Prospecting, 70(4), 641–654.
     [Google Scholar]
  18. Wu, H., Li, Y. & Ren, C. (2009) Removing surface wave by cross‐spread technology and application. In: SEG Global Meeting Abstracts. Houston, TX, SEG. pp. 86–88.
     [Google Scholar]
  19. Yilmaz, O. (2001) Seismic data analysis. Houston, TX: SEG Press.
     [Google Scholar]
  20. Yilmaz, O. (2007) A unified 2D land seismic data analysis workflow. First Break, 25, 43–49.
     [Google Scholar]
  21. Yilmaz, O. (2011) The i‐STATS: an image‐based effective‐medium modeling of near‐surface anomalies. In: SEG Annual Meeting. Houston, TX, SEG. pp. 4000–4004.
  22. Zhang, J. & Toksöz, M.N. (1998) Non‐linear refraction traveltime tomography. Geophysics, 63(5), 1726–1737.
     [Google Scholar]
  23. Zhang, J. & Yilmaz, O. (2005) Near‐surface corrections for complex structure imaging. In: SEG Annual Meeting. Houston, TX, SEG. pp. 2566–2568.
  24. Zhu, W., Kelamis, P.G. & Liu, Q. (2004) Linear noise attenuation using local radial trace median filtering. The Leading Edge, 23(8), 728–737.
     [Google Scholar]
  25. Zhu, X., Sixta, D.P. & Angstman, B.G. (1992) Tomostatics: turning‐ray tomography + static corrections. The Leading Edge, 11(12), 15–23.
     [Google Scholar]
/content/journals/10.1111/1365-2478.13432
Loading
A minimalist approach for improved time imaging of a noisy vibroseis data: A case study from Jaisalmer Basin, Rajasthan
Geophysical Prospecting 72, 524 (2024); https://doi.org/10.1111/1365-2478.13432
/content/journals/10.1111/1365-2478.13432
/content/journals/10.1111/1365-2478.13432
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): data processing; imaging; seismics; tomography; velocity analysis

Most Cited This Month Most Cited RSS feed

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