Anti-aliased non-periodic source separation

D. J. Van Manen; J. O.A. Robertsson; K. Eggenberger; F. Andersson

doi:10.3997/2214-4609.201700877

Anti-aliased non-periodic source separation

D. J. Van Manen, J. O.A. Robertsson, K. Eggenberger, F. Andersson

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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 pre-processing renders the encoding time and space-variant.

Original language	English
Title of host publication	79th EAGE Conference and Exhibition 2017
Publisher	European Association of Geoscientists and Engineers
ISBN (Electronic)	9789462822177
DOIs	https://doi.org/10.3997/2214-4609.201700877
Publication status	Published - 2017
Event	79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter - Paris, France Duration: 2017 Jun 12 → 2017 Jun 15

Conference

Conference	79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter
Country/Territory	France
City	Paris
Period	2017/06/12 → 2017/06/15

Subject classification (UKÄ)

Geotechnical Engineering and Engineering Geology

Access to Document

10.3997/2214-4609.201700877

Cite this

@inproceedings{09b7dcf18cc94d9e991de458abfe0a62,

title = "Anti-aliased non-periodic source separation",

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 pre-processing renders the encoding time and space-variant.",

author = "\{Van Manen\}, \{D. J.\} and Robertsson, \{J. O.A.\} and K. Eggenberger and F. Andersson",

year = "2017",

doi = "10.3997/2214-4609.201700877",

language = "English",

booktitle = "79th EAGE Conference and Exhibition 2017",

publisher = "European Association of Geoscientists and Engineers",

address = "Netherlands",

note = "79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter ; Conference date: 12-06-2017 Through 15-06-2017",

}

Van Manen, DJ, Robertsson, JOA, Eggenberger, K & Andersson, F 2017, Anti-aliased non-periodic source separation. in 79th EAGE Conference and Exhibition 2017. European Association of Geoscientists and Engineers, 79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter, Paris, France, 2017/06/12. https://doi.org/10.3997/2214-4609.201700877

TY - GEN

T1 - Anti-aliased non-periodic source separation

AU - Van Manen, D. J.

AU - Robertsson, J. O.A.

AU - Eggenberger, K.

AU - Andersson, F.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85033239070

U2 - 10.3997/2214-4609.201700877

DO - 10.3997/2214-4609.201700877

M3 - Paper in conference proceeding

AN - SCOPUS:85033239070

BT - 79th EAGE Conference and Exhibition 2017

PB - European Association of Geoscientists and Engineers

T2 - 79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter

Y2 - 12 June 2017 through 15 June 2017

ER -

Anti-aliased non-periodic source separation

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Anti-aliased non-periodic source separation

Abstract

Conference

Subject classification (UKÄ)

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Mathematical Imaging Group

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