1887

Abstract

Summary

In ocean-bottom seismic (OBS) data processing, the vertical geophone component Z data is often corrupted by a high level of “shear” noise which is not recorded by the hydrophone P. This noise highly influences the quality of the wavefield separation and, consequently, the final up-and down-going wavefield imaging products. With the growing importance of large, dense OBS acquisitions, we need methods that are both capable of accurately attenuating the “shear” noise and applicable to large amounts of seismic data. In this paper, we propose a singular value decomposition (SVD)-based noise attenuation method that relies on the hydrophone to drive the algorithm, allowing a good signal preservation on the vertical geophone. The proposed method uses a cross-correlation matching pursuit to compare the hydrophone and geophone data, and is equipped with an optimized SVD kernel. We demonstrate the performance of the method on a dense wide-azimuth 3D OBS shallow water acquisition involving 56,000 4-component nodes. Results demonstrate the efficiency of the proposed method in removing “shear” noise on the vertical geophone component with no damage to the signal.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201601359
2016-05-31
2020-08-04
Loading full text...

Full text loading...

References

  1. Craft, K. L.
    [2008], Geophone noise attenuation and wave-field separation using a multi-dimensional decomposition technique, 70th EAGE Conference & Exhibition, Expanded Abstract
    [Google Scholar]
  2. Deschizeaux, B., Schons, M., and Davies, D.
    [2013], P guided geophone de-noising on West Sole data - a case study. 75th EAGE Conference & Exhibition, Expanded Abstract
    [Google Scholar]
  3. Gao, J., Sacchi, M., and Chen, X.
    [2012], A fast rank-reduction method for f-x-y noise attenuation, SEG Technical Program, Expanded Abstracts
    [Google Scholar]
  4. Paffenholz, J., Docherty, P., Shurtleff, R., and Hays, D.
    [2006], Shear wave noise on OBC Vz data, Part I & II, 68th EAGE Conference & Exhibition, Expanded Abstract
    [Google Scholar]
  5. Peng, C., Huang, R., and Asmerom, B.
    [2013], Shear Noise Attenuation and PZ Matching for OBN Data with a New Scheme of Complex Wavelet Transform, 83rd SEG Annual International Meeting, Expanded Abstracts
    [Google Scholar]
  6. Poole, G., Casasanta, L., and Grion, S.
    [2012], Sparse t-p Z-noise attenuation for ocean-bottom data, 82nd SEG Annual International Meeting, Expanded Abstracts
    [Google Scholar]
  7. Sacchi, M.
    [2009], FX singular spectrum analysis, CSPG CSEG CWLS Convention
    [Google Scholar]
  8. Sanchis, C. and Elboth, T.
    [2014], Multicomponent Streamer Noise Characteristics and Denoising, 82nd SEG Annual International Meeting, Expanded Abstract
    [Google Scholar]
  9. Shatilo, A. P., Duren, R. E., and Rape, T.
    [2004], Effect of noise suppression on quality of 2C OBC image, 74th SEG Annual International Meeting, Expanded Abstract
    [Google Scholar]
  10. Trickett, S.
    [2003], F-xy eigenimage noise suppression. Geophysics, 68(2), 751–759.
    [Google Scholar]
  11. [2008], F-xy Cadzow Noise Suppression, CSPG CSEG CWLS Convention
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201601359
Loading
/content/papers/10.3997/2214-4609.201601359
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