1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. 79th EAGE Conference and Exhibition 2017
  5. Conference paper

Abstract

Summary

A lot of improvements have been seen in the last decade in 3D multiple modelling techniques, such as 3D Surface Related Multiple Elimination (SRME) and 3D wavefield modelling. These processes create accurate multiple models in terms of kinematics and amplitude. The main challenge now is to improve the subtraction of multiples, with a reduction in both residual multiple and primary leakage. This paper describes a new approach for multiple adaptive subtraction, which combines different techniques (least squares filtering in the time-space domain and curvelet-based subtraction) and improves primary preservation by using true multiple adaptive subtraction. The ultimate aim is to automatically get the best subtraction according to the complexity of the geology with minimum testing for the geophysicist.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201701237
2017-06-12
2024-04-26

  • From This Site

    /content/papers/10.3997/2214-4609.201701237
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Berkhout, A. J. and D. J.Verschuur
    [1997] Estimation of multiple scattering by iterative inversion, Part I: theoretical consideration: Geophysics, 62, 1586–1595.
     [Google Scholar]
  2. Kabir, N., Abma, R., and Xia, G.
    [2004], 3D Wavefield Extrapolation based demultiple in Ormen Lange, 74th Ann. Internat. Mtg. EG, Exp. Abstract.
     [Google Scholar]
  3. Pica, A., Poulain, G., David, B., Magesan, M., Baldock, S., Weisser, T., Hugonnet, P., Herrmann, Ph.
    [2005] 3D surface-related multiple modelling: Leading Edge, March 2005, 292–296.
     [Google Scholar]
  4. Nguyen, T. and Chauris, H.
    [2010] The Uniform Discrete Curvelet Transform IEEE Transactions on Signal Processing 08/2010; 58(7):3618–3634.
     [Google Scholar]
  5. Van Borselen, R., Hegge, R., Martin, T., Barnes, S., Aaron, P.
    [2011] Enhanced demultiple by 3D SRME using dual-sensor measurments: The Leading Edge, August 2011, 920–926.
     [Google Scholar]
  6. Nguyen, T. and Dyer, R.
    [2016] Adaptive multiple subtraction by statistical curvelet matching, SEG Technical Program Expanded Abstracts 2016: pp. 4566–4571.
     [Google Scholar]
  7. Liu, Y. and Truong, T.
    [2017], True Multiple Adaptive Subtraction.
     [Google Scholar]
  8. Nguyen, T., Liu, Y.
    [2017] Seismic noise attenuation using curvelet transform and dip map data structure.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701237
Loading
Intelligent Adaptive Subtraction for Multiple Attenuation
Conference Proceedings 2017, 1 (2017); https://doi.org/10.3997/2214-4609.201701237
/content/papers/10.3997/2214-4609.201701237
/content/papers/10.3997/2214-4609.201701237
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