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

Abstract

Summary

Imaging of seismic diffractions is a challenge since it is inherently a 3D problem. Diffractions carry useful information about the subsurface and allow to identify the presence of small-scale heterogeneities and structures e.g. fractures, pinch-outs, thin lenses etc. Thus, diffraction separation and imaging can lead to higher resolution, which is of particular interest for reservoir characterisation and exploration.

In this work, we suggest a 3D workflow based on common-reflection-surface (CRS) method for prestack diffraction separation and imaging in time domain. The workflow combines the ideas developed for diffraction separation with the partial CRS stack technique. It comprises not only the diffraction separation facility but also includes a prestack data enhancement, i.e., an improved SNR in diffraction-only data. Application to a 3D synthetic model confirms its effectiveness in prestack diffraction separation. It also demonstrates potential for time migration velocity analysis using diffraction-only data.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201413507
2015-06-01
2024-04-18

  • From This Site

    /content/papers/10.3997/2214-4609.201413507
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Bakhtiari Rad, P., Schwarz, B., Vanelle, C. and Gajewski, D.
    [2014] Common Reflection Surface (CRS) based pre-stack diffraction separation. SEG Technical Program Expanded Abstracts, 4208–4212.
     [Google Scholar]
  2. Baykulov, M. and Gajewski, D.
    [2009] Prestack seismic data enhancement with partial common-reflection-surface (CRS) stack. Geophysics, 74, V49–V58.
     [Google Scholar]
  3. Bergler, S.
    [2004] On the determination and use of kinematic wavefield attributes for 3D seismic imaging. Logos Verlag, Berlin.
     [Google Scholar]
  4. Dell, S. and Gajewski, D.
    [2010] Poststack time migration velocity analysis by CRS diffraction stacking. 72th Conference and Technical Exhibition, EAGE, Extended Abstract, P252.
     [Google Scholar]
  5. [2011] 3D CRS-attributes based diffraction imaging. 73rd Conference & Technical Exhibition, EAGE, Extended Abstract, P019.
     [Google Scholar]
  6. Fomel, S., Landa, E. and Moser, T.
    [2006] Poststack velocity analysis by separation and imaging of seismic diffractions. Geophysics, 72(6), U89–U94.
     [Google Scholar]
  7. Khaidukov, V., Landa, E. and Moser, T.
    [2004] Diffraction imaging by focusing-defocusing: An outlook on seismic superresolution. Geophysics, 69, 1478–1490.
     [Google Scholar]
  8. Landa, E., Shtivelman, V. and Gelchinsky, B.
    [1987] A method for detection of diffracted waves on common-offset sections. Geophysical prospecting, 35, 359–373.
     [Google Scholar]
  9. Müller, N.
    [2007] Determination of interval velocities by inversion of kinematic 3D wavefield attributes. Ph.D. thesis, TH karlsruhe.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201413507
Loading
3D CRS-based Prestack Diffraction Separation and Imaging
Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201413507
/content/papers/10.3997/2214-4609.201413507
/content/papers/10.3997/2214-4609.201413507
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