1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. 76th EAGE Conference and Exhibition 2014
  5. Conference paper

Abstract

Summary

Empirical mode decomposition (EMD) becomes popular recently for random noise attenuation because of its convenient implementation and ability in dealing with non-stationary seismic data. In this paper, we summarize the existing use of EMD in seismic data denoising and introduce a general hybrid scheme which combine f-x EMD with one other existing denoising approach. The novel hybrid scheme can achieve a better denoising performance compared with the conventional f-x EMD and the other selected denoising approach. Instead of combining f-x EMD with f-x predictive filtering, wavelet thresholding and curvelet thresholding, we propose to combine f-x EMD with f-x multichannel singular spectrum analysis (MSSA), which can obtain cleaner denoised section compared with f-x MSSA and can preserve dipping energy compared with f-x EMD.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20141585
2014-06-16
2024-04-25

  • From This Site

    /content/papers/10.3997/2214-4609.20141585
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Bekara, M. and van der Baan, M.
    [2009] Random and coherent noise attenuation by empirical mode decomposition. Geophysics, 74(5), V89–V98.
     [Google Scholar]
  2. Chen, W., Wang, S., Zhang, Z. and Chuai, X.
    [2012] Noise reduction based on wavelet threshold filtering and ensemble empirical mode decomposition. 82nd Annual International Meeting, SEG, Expanded Abstracts, 1–6.
     [Google Scholar]
  3. Chen, Y. and Ma, J.
    [2013] Random noise attenuation by f-x emprical mode decomposition predictive filtering. 83rd Annual International Meeting, SEG, Expanded Abstracts, 4340–4346.
     [Google Scholar]
  4. Dong, L., Li, Z. and Wang, D.
    [2013] Curvelet threshold denoising joint with empirical mode decomposition. 83rd Annual International Meeting, SEG, Expanded Abstracts, 4412–4416.
     [Google Scholar]
  5. Oropeza, V. and Sacchi, M.
    [2011] Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis. Geophysics, 76, V25–V32.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20141585
Loading
Random Noise Attenuation by a Hybrid Approach Using f-x Empirical Mode Decomposition and Multichannel Singular Spectrum
Conference Proceedings 2014, 1 (2014); https://doi.org/10.3997/2214-4609.20141585
/content/papers/10.3997/2214-4609.20141585
/content/papers/10.3997/2214-4609.20141585
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