1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. 77th EAGE Conference and Exhibition 2015
  5. Conference paper

Abstract

Summary

Seismic imaging in the North Sea is often hampered by gas clouds (low saturation gas zones generally characterized by low velocity and strong absorption). As results of these properties, seismic images in and below such anomalies are severely deteriorated by sags, shadow zones, amplitude attenuation and dispersive phase distortion, where these last two effects are quantified by the quality factor (Q).

Furthermore, the recent trend for broadband processing of marine streamer data by employing deghosting techniques provides the opportunity for meaningfully extending the seismic bandwidth to the point where Q compensation becomes an issue. In this work, we discuss several techniques for estimating a Q model, and compare the corresponding visco-acoustic migration results with those obtained with more conventional acoustic imaging.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201413252
2015-06-01
2024-04-26

  • From This Site

    /content/papers/10.3997/2214-4609.201413252
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Futterman, W.I.
    [1962] Dispersive Body Waves. Journal of Geophysical Research67(13), 5279–291.
     [Google Scholar]
  2. Jacobson, R.S., Shor, G.G., LeRoy, M. and Dorman, J.
    [1981] Linear inversion of body wave data -Part II: Attenuation versus depth using spectral ratios. Geophysics46(2), 1520162.
     [Google Scholar]
  3. Jones, I.F.
    [2010] An Introduction to Velocity Model Building. EAGE. ISBN 978-90-73781-84-9, 296.
     [Google Scholar]
  4. [2013] Absorption related velocity dispersion below a possible gas hydrate geobody. Geophysical Prospecting, 61(1), 434–445.
     [Google Scholar]
  5. [2012] Tutorial: Incorporating near-surface velocity anomalies in pre-stack depth migration models. First Break, 30(3), 47–58.
     [Google Scholar]
  6. QuanY. and Harris, J.M.
    [1997] Seismic attenuation tomography using the frequency shift method. Geophysics, 62(3), P895–905
     [Google Scholar]
  7. Wang, Y.
    [2008] Seismic inverse Q filtering. Blackwell, ISBN 978-1-4051-8540-0, 249.
     [Google Scholar]
  8. Zhang, Y., Zhang, P. and Zhang, H.
    [2010] Compensating for viscoacoustic effects in reverse-time migration. SEG Expanded Abstracts, 29, 3160.
     [Google Scholar]
  9. Zhou, Z.Z., Cvetkovic, M., Xu, B. and Fontana, P.
    [2012] Analysis of a broadband processing technology applicable to conventional streamer data. First Break, 30(10), 77–82.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201413252
Loading
Seismic Imaging in Gas Obscured Areas – Q Anomaly Detection and Q Migration Applied to Broadband Data
Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201413252
/content/papers/10.3997/2214-4609.201413252
/content/papers/10.3997/2214-4609.201413252
Loading

Data & Media loading...

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