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Anti-aliased non-periodic source separation

Van Manen, D. J.; Robertsson, J. O.A.; Eggenberger, K. and Andersson, F. LU (2017) 79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter In 79th EAGE Conference and Exhibition 2017
Abstract

In wavefield signal apparition, acquisition with periodic variations in source activation parameters shifts all or part of a signal cone out to, e.g., the Nyquist wavenumber, enabling perfect separation of simultaneous-source (sim-source) data in a diamond-shaped region below a certain temporal frequency. Cyclic convolution in the spatial frequency domain can be exploited to separate data with known non-periodic encoding functions. Such a separation comprises a least-squares reconstruction in the frequency-wavenumber (fk) domain. By applying the reconstruction in the S-transform domain and using an exact expression for NMO stretch, it is possible to perform anti-aliased source separation in conjunction with an invertible NMO or when... (More)

In wavefield signal apparition, acquisition with periodic variations in source activation parameters shifts all or part of a signal cone out to, e.g., the Nyquist wavenumber, enabling perfect separation of simultaneous-source (sim-source) data in a diamond-shaped region below a certain temporal frequency. Cyclic convolution in the spatial frequency domain can be exploited to separate data with known non-periodic encoding functions. Such a separation comprises a least-squares reconstruction in the frequency-wavenumber (fk) domain. By applying the reconstruction in the S-transform domain and using an exact expression for NMO stretch, it is possible to perform anti-aliased source separation in conjunction with an invertible NMO or when pre-processing renders the encoding time and space-variant.

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organization
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type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
79th EAGE Conference and Exhibition 2017
publisher
European Association of Geoscientists and Engineers, EAGE
conference name
79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter
external identifiers
  • scopus:85033239070
ISBN
9789462822177
DOI
10.3997/2214-4609.201700877
language
English
LU publication?
yes
id
09b7dcf1-8cc9-4d9e-991d-e458abfe0a62
date added to LUP
2017-11-16 10:57:43
date last changed
2017-11-16 14:46:51
@inproceedings{09b7dcf1-8cc9-4d9e-991d-e458abfe0a62,
  abstract     = {<p>In wavefield signal apparition, acquisition with periodic variations in source activation parameters shifts all or part of a signal cone out to, e.g., the Nyquist wavenumber, enabling perfect separation of simultaneous-source (sim-source) data in a diamond-shaped region below a certain temporal frequency. Cyclic convolution in the spatial frequency domain can be exploited to separate data with known non-periodic encoding functions. Such a separation comprises a least-squares reconstruction in the frequency-wavenumber (fk) domain. By applying the reconstruction in the S-transform domain and using an exact expression for NMO stretch, it is possible to perform anti-aliased source separation in conjunction with an invertible NMO or when pre-processing renders the encoding time and space-variant.</p>},
  author       = {Van Manen, D. J. and Robertsson, J. O.A. and Eggenberger, K. and Andersson, F.},
  booktitle    = {79th EAGE Conference and Exhibition 2017},
  isbn         = {9789462822177},
  language     = {eng},
  publisher    = {European Association of Geoscientists and Engineers, EAGE},
  title        = {Anti-aliased non-periodic source separation},
  url          = {http://dx.doi.org/10.3997/2214-4609.201700877},
  year         = {2017},
}