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Flawless diamond reconstruction for simultaneous source separation

Andersson, F. LU ; Robertsson, J. O.A.; Van Manen, D. J.; Wittsten, J. LU ; Eggenberger, K. and Amundsen, L. (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 this paper we prove that the recently introduced method of signal apparition optimally separates signals from interfering sources recorded during simultaneous source seismic data acquisition. By utilizing a periodic sequence of source signatures along one source line, that wavefield becomes separately partially visible in the spectral domain where it can be isolated from interfering signals, processed, and subtracted from the original recordings, thereby separating the wavefields from each other. Whereas other methods for simultaneous source separation can recover data in triangle-shaped region in the spectral domain, signal apparition allows for the exact separation of data in a diamond-shaped region that is twice as large thereby... (More)

In this paper we prove that the recently introduced method of signal apparition optimally separates signals from interfering sources recorded during simultaneous source seismic data acquisition. By utilizing a periodic sequence of source signatures along one source line, that wavefield becomes separately partially visible in the spectral domain where it can be isolated from interfering signals, processed, and subtracted from the original recordings, thereby separating the wavefields from each other. Whereas other methods for simultaneous source separation can recover data in triangle-shaped region in the spectral domain, signal apparition allows for the exact separation of data in a diamond-shaped region that is twice as large thereby enabling superior reconstruction of separated wavefields throughout the entire data bandwidth.

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Please use this url to cite or link to this publication:
author
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:85033222524
ISBN
9789462822177
DOI
10.3997/2214-4609.201701370
language
English
LU publication?
yes
id
3ea7f878-0d1b-47d6-b99b-98ad270a0f75
date added to LUP
2017-11-16 09:57:11
date last changed
2017-11-16 09:57:11
@inproceedings{3ea7f878-0d1b-47d6-b99b-98ad270a0f75,
  abstract     = {<p>In this paper we prove that the recently introduced method of signal apparition optimally separates signals from interfering sources recorded during simultaneous source seismic data acquisition. By utilizing a periodic sequence of source signatures along one source line, that wavefield becomes separately partially visible in the spectral domain where it can be isolated from interfering signals, processed, and subtracted from the original recordings, thereby separating the wavefields from each other. Whereas other methods for simultaneous source separation can recover data in triangle-shaped region in the spectral domain, signal apparition allows for the exact separation of data in a diamond-shaped region that is twice as large thereby enabling superior reconstruction of separated wavefields throughout the entire data bandwidth.</p>},
  author       = {Andersson, F. and Robertsson, J. O.A. and Van Manen, D. J. and Wittsten, J. and Eggenberger, K. and Amundsen, L.},
  booktitle    = {79th EAGE Conference and Exhibition 2017},
  isbn         = {9789462822177},
  language     = {eng},
  publisher    = {European Association of Geoscientists and Engineers, EAGE},
  title        = {Flawless diamond reconstruction for simultaneous source separation},
  url          = {http://dx.doi.org/10.3997/2214-4609.201701370},
  year         = {2017},
}