Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Deblending seismic data by directionality penalties

Andersson, F. LU ; Wittsten, J. LU ; Ramirez, A. C. and Wiik, Torgeir (2016) 78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential
Abstract

In conventional seismic surveys, there is a waiting time between sequentially fired shots. This time is determined such that the deepest reflection of interest is recorded before the following source is fired. In a survey with simultaneous or blended sources, the waiting time between the firing of shots is not dependent on the deepest reflection of interest, it is usually much shorter and/or can have random time delays. Thus, the wavefields due to independent sources are overlapped in the records. The blended data exhibit strong discontinuities in the source direction, in contrast to the coherency expected from seismic measurements. A strategy for deblending could then be to suppress these discontinuities. In this paper, we propose to... (More)

In conventional seismic surveys, there is a waiting time between sequentially fired shots. This time is determined such that the deepest reflection of interest is recorded before the following source is fired. In a survey with simultaneous or blended sources, the waiting time between the firing of shots is not dependent on the deepest reflection of interest, it is usually much shorter and/or can have random time delays. Thus, the wavefields due to independent sources are overlapped in the records. The blended data exhibit strong discontinuities in the source direction, in contrast to the coherency expected from seismic measurements. A strategy for deblending could then be to suppress these discontinuities. In this paper, we propose to do this by designing an energy functional that uses a combination of individual functionals that penalize deviations from local plane waves in the reconstructed (deblended) data, as well as a least squares term that penalizes discrepancies between the deblended and the measured data. In this way, we derive a set of coupled nonlinear partial differential equations that we use for the deblending procedure.

(Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential
publisher
European Association of Geoscientists and Engineers
conference name
78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential
conference location
Vienna, Austria
conference dates
2016-05-30 - 2016-06-02
external identifiers
  • scopus:85088758739
ISBN
9789462821859
DOI
10.3997/2214-4609.201601410
language
English
LU publication?
yes
id
30ab8234-9702-46d5-8a20-5b8e1220fefc
date added to LUP
2017-07-03 11:07:32
date last changed
2022-04-01 17:59:05
@inproceedings{30ab8234-9702-46d5-8a20-5b8e1220fefc,
  abstract     = {{<p>In conventional seismic surveys, there is a waiting time between sequentially fired shots. This time is determined such that the deepest reflection of interest is recorded before the following source is fired. In a survey with simultaneous or blended sources, the waiting time between the firing of shots is not dependent on the deepest reflection of interest, it is usually much shorter and/or can have random time delays. Thus, the wavefields due to independent sources are overlapped in the records. The blended data exhibit strong discontinuities in the source direction, in contrast to the coherency expected from seismic measurements. A strategy for deblending could then be to suppress these discontinuities. In this paper, we propose to do this by designing an energy functional that uses a combination of individual functionals that penalize deviations from local plane waves in the reconstructed (deblended) data, as well as a least squares term that penalizes discrepancies between the deblended and the measured data. In this way, we derive a set of coupled nonlinear partial differential equations that we use for the deblending procedure.</p>}},
  author       = {{Andersson, F. and Wittsten, J. and Ramirez, A. C. and Wiik, Torgeir}},
  booktitle    = {{78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential}},
  isbn         = {{9789462821859}},
  language     = {{eng}},
  publisher    = {{European Association of Geoscientists and Engineers}},
  title        = {{Deblending seismic data by directionality penalties}},
  url          = {{http://dx.doi.org/10.3997/2214-4609.201601410}},
  doi          = {{10.3997/2214-4609.201601410}},
  year         = {{2016}},
}