1887

Abstract

Summary

Blended acquisition improves the efficiency of seismic acquisition significantly, but blending noise brings new challenges to subsequent conventional seismic data processing. The efficiency of conventional SSA for rank-reduction using TSVD is low, and its deblending accuracy is open to be improved. Thus, we propose a damped randomized SSA (DRSSA) algorithm using damped randomized SVD (DR-SVD) which combines the high efficiency of R-SVD and the high accuracy of the damping constraint. In addition, a projected gradient descent (PGD) algorithm is introduced for joint deblending and reconstruction of incomplete blended data. The effectiveness and superiority of the proposed method are verified by synthetic data and field marine data examples in improving the deblending efficiency and accuracy.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2023101020
2023-06-05
2026-02-17

  • From This Site

    /content/papers/10.3997/2214-4609.2023101020
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Bolduc, E., Knee, G. C., Gauger, E. M. and Leach, J. [2017] Projected gradient descent algorithms for quantum state tomography. npj Quantum Information3(1).
     [Google Scholar]
  2. Cheng, J. K. and Sacchi, M. D. [2015] Separation and reconstruction of simultaneous source data via iterative rank reduction. Geophysics80(4), V57–V66.
     [Google Scholar]
  3. Huang, W., Wang, R., Chen, Y., Li, H. and Gan, S. [2016] Damped multichannel singular spectrum analysis for 3D random noise attenuation. Geophysics81(4), V261–V270.
     [Google Scholar]
  4. Li, C., Mosher, C. C., Morley, L. C., Ji, Y. and Brewer, J. D. [2013] Joint source deblending and reconstruction for seismic data. SEG Technical Program, Expanded Abstracts, 2013, 82–87.
     [Google Scholar]
  5. Oropeza, V. and Sacchi, M. [2011] Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis. Geophysics76(3), V25–V32.
     [Google Scholar]
  6. Oropeza, V. E. and Sacchi, M. D. [2010] A randomized SVD for Multichannel Singular Spectrum Analysis (MSSA) noise attenuation. SEG Technical Program, Expanded Abstracts, 2010, 3539–3544.
     [Google Scholar]
/content/papers/10.3997/2214-4609.2023101020
Loading
Deblending and reconstruction of blended seismic data based on damped randomized singular spectrum analysis
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.2023101020
/content/papers/10.3997/2214-4609.2023101020
/content/papers/10.3997/2214-4609.2023101020
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