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

Abstract

Summary

This paper presents a new method for simultaneous source deblending developed in the context of compressive sensing. The deblending solution is formulated as an inverse problem which is solved in local overlapping spatio-temporal widows extracted from the blended data. To constrain the solution, the unknown sources are assumed to have a reduced rank with minimal nuclear norm. This will promote the sparsity of seismic data without relying on the use of a given data decomposition method such as a Fourier or curvelet transform. In our case, the decomposition is data-driven which arguably would lead to better data modeling and therefore a better source separation. The proposed method is generic and can be applied to all configurations of simultaneous shooting. Test results on triple-source data show a good deblending quality which preserves the frequency content of the data after separation. The proposed method is robust to acquisition noise such as swell allowing it to be flexibly applied at early stages of a typical marine seismic processing sequence.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201701371
2017-06-12
2024-04-26

  • From This Site

    /content/papers/10.3997/2214-4609.201701371
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Aravkin, A.Y., Kumar, R., Mansour, H., Recht, B. and Herrmann, F.
    [2014] Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation. SIAM Journal on Scientific Computing, 36(5), S237–S266.
     [Google Scholar]
  2. Beitz, M., Strand, C. and Baardman, R. H.
    [2016] Constraint of Dithering of Source Actuations, Patent number PGS-16132-US
     [Google Scholar]
  3. Berg, E. and Friedlander, M.
    [2008] Probing the pareto frontier for basis pursuit solutions. SIAM Journal on Scientific Computing, 31(2), 890–912.
     [Google Scholar]
  4. van Borselen, R. and Baardman, R. H.
    [2012] Separating Sources in Marine Simultaneous Shooting Acquisition — Method & Applications, 82nd SEG Meeting, Expanded Abstracts.
     [Google Scholar]
  5. van Borselen, R., Long, A., Abendorff, E., Purves, M., Norris, J. and Moritz, A.
    [2013] Simultaneous Long Offset (SLO) towed streamer seismic acquisition/ Proceedings of the 11th SEGJ International Symposium, Yokohama, Japan, 18–21 November 2013: 5–8.
     [Google Scholar]
  6. Kumar, R., Wason, H. and Herrmann, F.
    [2015] Time-jittered marine acquisition: low-rank v/s sparsity, 78th EAGE Conference and Exhibition
     [Google Scholar]
  7. Maraschini, M., Kielius, A. and Sergio, G.
    [2016] Record-length Extension by Rank-reduction Deblending, 79th EAGE Conference and Exhibition
     [Google Scholar]
  8. Rennie, J. and Srebro, N.
    [2005] Fast maximum margin matrix factorization for collaborative prediction. Proceedings of the 22nd international conference on Machine learning, ICML ‘05, ACM, New York, NY, USA, ISBN 1-59593-180-5, 713–719.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701371
Loading
A Practical Method for Multi-source Deblending Using Spatio-temporal Compressive Sensing
Conference Proceedings 2017, 1 (2017); https://doi.org/10.3997/2214-4609.201701371
/content/papers/10.3997/2214-4609.201701371
/content/papers/10.3997/2214-4609.201701371
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