Utilizing spectral decomposition to determine the distribution of injected CO 2 at the Snøhvit Field
ABSTRACT Time‐lapse 3D seismic reflection data, covering the CO 2 storage operation at the Snøhvit gas field in the Barents Sea, show clear amplitude and time‐delay differences following injection. The nature and extent of these changes suggest that increased pore fluid pressure contributes to the o...
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crwiley:10.1111/1365-2478.12217 2024-09-15T17:57:57+00:00 Utilizing spectral decomposition to determine the distribution of injected CO 2 at the Snøhvit Field White, James C. Williams, Gareth A. Grude, Sissel Chadwick, R. Andrew 2015 http://dx.doi.org/10.1111/1365-2478.12217 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1365-2478.12217 https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.12217 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Geophysical Prospecting volume 63, issue 5, page 1213-1223 ISSN 0016-8025 1365-2478 journal-article 2015 crwiley https://doi.org/10.1111/1365-2478.12217 2024-07-25T04:19:32Z ABSTRACT Time‐lapse 3D seismic reflection data, covering the CO 2 storage operation at the Snøhvit gas field in the Barents Sea, show clear amplitude and time‐delay differences following injection. The nature and extent of these changes suggest that increased pore fluid pressure contributes to the observed seismic response, in addition to a saturation effect. Spectral decomposition using the smoothed pseudo‐Wigner–Ville distribution has been used to derive discrete‐frequency reflection amplitudes from around the base of the CO 2 storage reservoir. These are utilized to determine the lateral variation in peak tuning frequency across the seismic anomaly as this provides a direct proxy for the thickness of the causative feature. Under the assumption that the lateral and vertical extents of the respective saturation and pressure changes following CO 2 injection will be significantly different, discrete spectral amplitudes are used to distinguish between the two effects. A clear spatial separation is observed in the distribution of low‐ and high‐frequency tuning. This is used to discriminate between direct fluid substitution of CO 2 , as a thin layer, and pressure changes that are distributed across a greater thickness of the storage reservoir. The results reveal a striking correlation with findings derived from pressure and saturation discrimination algorithms based on amplitude versus offset analysis. Article in Journal/Newspaper Barents Sea Snøhvit Wiley Online Library Geophysical Prospecting 63 5 1213 1223 |
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English |
description |
ABSTRACT Time‐lapse 3D seismic reflection data, covering the CO 2 storage operation at the Snøhvit gas field in the Barents Sea, show clear amplitude and time‐delay differences following injection. The nature and extent of these changes suggest that increased pore fluid pressure contributes to the observed seismic response, in addition to a saturation effect. Spectral decomposition using the smoothed pseudo‐Wigner–Ville distribution has been used to derive discrete‐frequency reflection amplitudes from around the base of the CO 2 storage reservoir. These are utilized to determine the lateral variation in peak tuning frequency across the seismic anomaly as this provides a direct proxy for the thickness of the causative feature. Under the assumption that the lateral and vertical extents of the respective saturation and pressure changes following CO 2 injection will be significantly different, discrete spectral amplitudes are used to distinguish between the two effects. A clear spatial separation is observed in the distribution of low‐ and high‐frequency tuning. This is used to discriminate between direct fluid substitution of CO 2 , as a thin layer, and pressure changes that are distributed across a greater thickness of the storage reservoir. The results reveal a striking correlation with findings derived from pressure and saturation discrimination algorithms based on amplitude versus offset analysis. |
format |
Article in Journal/Newspaper |
author |
White, James C. Williams, Gareth A. Grude, Sissel Chadwick, R. Andrew |
spellingShingle |
White, James C. Williams, Gareth A. Grude, Sissel Chadwick, R. Andrew Utilizing spectral decomposition to determine the distribution of injected CO 2 at the Snøhvit Field |
author_facet |
White, James C. Williams, Gareth A. Grude, Sissel Chadwick, R. Andrew |
author_sort |
White, James C. |
title |
Utilizing spectral decomposition to determine the distribution of injected CO 2 at the Snøhvit Field |
title_short |
Utilizing spectral decomposition to determine the distribution of injected CO 2 at the Snøhvit Field |
title_full |
Utilizing spectral decomposition to determine the distribution of injected CO 2 at the Snøhvit Field |
title_fullStr |
Utilizing spectral decomposition to determine the distribution of injected CO 2 at the Snøhvit Field |
title_full_unstemmed |
Utilizing spectral decomposition to determine the distribution of injected CO 2 at the Snøhvit Field |
title_sort |
utilizing spectral decomposition to determine the distribution of injected co 2 at the snøhvit field |
publisher |
Wiley |
publishDate |
2015 |
url |
http://dx.doi.org/10.1111/1365-2478.12217 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1365-2478.12217 https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.12217 |
genre |
Barents Sea Snøhvit |
genre_facet |
Barents Sea Snøhvit |
op_source |
Geophysical Prospecting volume 63, issue 5, page 1213-1223 ISSN 0016-8025 1365-2478 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1111/1365-2478.12217 |
container_title |
Geophysical Prospecting |
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63 |
container_issue |
5 |
container_start_page |
1213 |
op_container_end_page |
1223 |
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1810434172100018176 |