1887

Abstract

Summary

Coherent and incoherent seismic noise complicates the analysis of seismic data and attenuation of this noise is one of the primary objectives of seismic data processing prior to imaging. Seismic noise often varies in space as well as in frequency and time, which can be exploited for noise removal. Here, we present a novel noise attenuation method that makes full use of these properties. The new method combines a short time Fourier transform, an extension of the vector median filter to complex numbers, an efficient thresholding method, and a fast dip scan in the frequency domain. This novel method allows the exploitation of variability in seismic noise inside a single process and the attenuation of seismic noise all the way to the spatial alias frequency. This paper introduces the new noise attenuation method with a special focus on the extension of the vector median filter. It then demonstrates the effectiveness of the new processing algorithm for low and intermediate frequency noise attenuation using a field data example from offshore Namibia. The new noise attenuation method facilitates imaging of deep crustal reflectors crucial to meeting the imaging objectives.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201801392
2018-06-11
2024-04-18
Loading full text...

Full text loading...

References

  1. Astola, J., Haavisto, P. and Neuvo, Y.
    [1990] Vector median filters. Proceedings of the IEEE, 78, 678–689.
    [Google Scholar]
  2. Elboth, T., Presterud, I.V. and Hermansen, D.
    [2010] Time-frequency seismic data de-noising. Geophysical Prospecting, 58, 441–453.
    [Google Scholar]
  3. Gabor, D.
    [1946] Theory of communication. Part 1: The analysis of information. Journal of the Institution of Electrical Engineers - Part III: Radio and Communication Engineering, 93, 429–441.
    [Google Scholar]
  4. Gulunay, N.
    [2008] Two different algorithms for seismic interference noise attenuation. The Leading Edge, 27, 176–181.
    [Google Scholar]
  5. Hodgson, N. and Rodriguez, K.
    [2017] Shelf stability and mantle convection on Africa’s passive margins (Part 1). First Break, 35, 93–97.
    [Google Scholar]
  6. Huo, S., Luo, Y. and Kelamis, P.
    [2012] Simultaneous sources separation via multidirectional vector-median filtering. Geophysics, 77, V123–V131.
    [Google Scholar]
  7. Intawong, A. and Hodgson, N.
    [2017] Deepwater turbidites offshore Namibia shown to provide high-quality reservoir sands. Offshore, 30–31.
    [Google Scholar]
  8. Kasparis, T. and Eichmann, G.
    [1987] Vector median filters. Signal Processing, 13, 287–299.
    [Google Scholar]
  9. Liu, Y.
    , [2013] Noise reduction by vector median filtering. Geophysics, 78, V79–V87.
    [Google Scholar]
  10. Perez Ortega, F.
    [2017] Vector Median Filtering and its Application for Attenuating Seismic Noise using Data from Offshore Namibia (Master of Science). University of Leeds.
    [Google Scholar]
  11. Zhang, Y., Zhang, M., Zhou, H. and Zou, Z.
    [2013] Separation of ISS seismic data via vector median filter in T-X and F-X domains. SEG Technical Program Expanded Abstracts, 4377–4381.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201801392
Loading
/content/papers/10.3997/2214-4609.201801392
Loading

Data & Media loading...

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