1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. 77th EAGE Conference and Exhibition 2015
  5. Conference paper

Abstract

Summary

In recent years, spatiotemporal time-frequency peak filtering (ST-TFPF) has been proposed and successfully applied to seismic random noise suppression. It improves the shortcomings of conventional TFPF and processes seismic data along radial or quadratic traces in spatiotemporal domain. The matching degree of filtering trace and reflection events directly influence the denoising result of ST-TFPF.

Therefore, filtering trace selection has vital significance and plays an important role in ST-TFPF.

Nevertheless, in its existing models, there is hardly any effective selection method. The trace parameters were either fixed or selected by some immature algorithms, which consequently produce inaccurate or error filtering traces. Thus, this paper presents a novel filtering trace selection approach using Hough transform (HT), which designs filtering traces according to the distribution morphology of seismic events. The experimental results prove its strong accuracy and applicability in the aspect of filtering trace selection.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201413417
2015-06-01
2024-04-20

  • From This Site

    /content/papers/10.3997/2214-4609.201413417
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Boashash, B. and Mesbah, M.
    [2004] Signal enhancement by time-frequency peak filtering. IEEE Transactions on signal processing, 52(4), 929–937.
     [Google Scholar]
  2. Wu, N., Li, Y. and Yang, B.J.
    [2011] Noise attenuation for 2-D seismic data by radial-trace time-frequency peak filtering. IEEE Geoscience and remote sensing letters, 8(5), 874–878.
     [Google Scholar]
  3. Xiong, M.J., Li, Y. and Wu, N.
    [2014] Random noise attenuation for seismic data by local parallel radial-trace TFPF. IEEE Transactions on geoscience and remote sensing, 52(7), 4025–4031.
     [Google Scholar]
  4. Tian, Y.N. and Li, Y.
    [2014] Parabolic-trace time-frequency peak filtering for seismic random noise attenuation. IEEE Geoscience and remote sensing letters, 11(1), 158–162.
     [Google Scholar]
  5. TianY.N., LiY. and YangB.J.
    [2014] Variable-eccentricity hyperbolic-trace TFPF for seismic noise attenuation. IEEE Transactions on geoscience and remote sensing, 52(10), 6449–6458.
     [Google Scholar]
  6. NitinA. and WilliamC.K.
    [2006] Line detection in images through regularized Hough transform. IEEE Transactions on image processing, 15(3), 582–591.
     [Google Scholar]
  7. Du, SH.ZH. and Wyk, B.J.
    [2011] Collinear segment detection using HT neighborhoods. IEEE Transactions on image processing, 20(12), 3612–3620.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201413417
Loading
Filtering Traces Detection Using Hough Transform in ST-TFPF
Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201413417
/content/papers/10.3997/2214-4609.201413417
/content/papers/10.3997/2214-4609.201413417
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