Anti-aliased non-periodic source separation
(2017) 79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter- 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.
(Less)
- author
- Van Manen, D. J. ; Robertsson, J. O.A. ; Eggenberger, K. and Andersson, F. LU
- organization
- publishing date
- 2017
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 79th EAGE Conference and Exhibition 2017
- publisher
- European Association of Geoscientists and Engineers
- conference name
- 79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter
- conference location
- Paris, France
- conference dates
- 2017-06-12 - 2017-06-15
- 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
- 2022-03-09 07:23:54
@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}},
title = {{Anti-aliased non-periodic source separation}},
url = {{http://dx.doi.org/10.3997/2214-4609.201700877}},
doi = {{10.3997/2214-4609.201700877}},
year = {{2017}},
}