1887

Abstract

Summary

Marine vibrators have been favored by seismic acquisitions in recent years because of its greater waveform control, repeatability and less environmental damage. However, it present a processing challenge not found with airgun sources: the Doppler effect. The Doppler shift correction for source movement can be performed by using 2D deconvolution prior to correlation or using an analytical correction either pre or post correlation. However, both correction methods generate spatial artifacts when the shot sampling is coarse. The passage present a method to correct moving vibrator data. To deployed the linear composite operators on the sparse inversion algorithm, including mask function, F-K domain convolution operator, sampling matrix and a dictionary mapping seismic data to a basis function, the method achieves the goals of interpolation, correction and noise attenuation simultaneously in the sparse F-K domain. The introduction of the masking function preserves the effective spectrum during interpolation or noise attenuation. Besides, the conjugate symmetry of real signal Fourier transform can halve the amount of observed data involved in the inversion.

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/content/papers/10.3997/2214-4609.202310645
2023-06-05
2026-02-07

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References

  1. Dragoset, W. H. [1988] Marine vibrators and the Doppler effect. Geophysics, 53(11), 1388–1398.
     [Google Scholar]
  2. Duquet, B., Guitton, A., Secker, S., Feltham, A., & Mascomere, J. P. [2021]. Impact of nonimpulsive moving source correction for structural and 4D imaging. First International Meeting for Applied Geoscience & Energy, 31–35 (Abstract)
     [Google Scholar]
  3. Hampson, G., & Jakubowicz, H. [1995] The effects of source and receiver motion on seismic data. Geophysical Prospecting, 43(2), 221–244.
     [Google Scholar]
  4. Qi, C. and Hilterman, F. [2016] Removal of Doppler effects from marine vibrator OBN seismic. 2016 SEG International Exposition and Annual Meeting, 183–187 (Abstract)
     [Google Scholar]
  5. moving source correction for structural and 4D imaging. First International Meeting for Applied Geoscience & Energy, 31–35 (Abstract)
     [Google Scholar]
  6. Guitton, A., Duquet, B., Secker, S., Mascomere, J. P., & Feltham, A. [2021] A deconvolution-interpolation approach with sparse inversion to mitigate the Doppler effect in marine vibrators data. In First International Meeting for Applied Geoscience & Energy (pp. 2555–2559). Society of Exploration Geophysicists.
     [Google Scholar]
  7. Naghizadeh, M. [2012] Seismic data interpolation and denoising in the frequency-wavenumber domain. Geophysics, 77(2), V71–V80.
     [Google Scholar]
  8. Diao. [2020] Reconstruction of Missing Seismic Data Based on Anti-aliasing POCS Algorithm[D]. East China University of Technology.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202310645
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A deconvolution-interpolation method to eliminate the Doppler effect of marine vibrators data in frequency-wavenumber domain
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202310645
/content/papers/10.3997/2214-4609.202310645
/content/papers/10.3997/2214-4609.202310645
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