Utilizing spectral decomposition to determine the distribution of injected CO2 at the Snøhvit Field
Time-lapse 3D seismic reflection data, covering the CO2 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 se...
Published in: | Geophysical Prospecting |
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Language: | English |
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Online Access: | http://nora.nerc.ac.uk/id/eprint/510473/ https://nora.nerc.ac.uk/id/eprint/510473/1/gpr12217.pdf http://onlinelibrary.wiley.com/doi/10.1111/1365-2478.12217/abstract |
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ftnerc:oai:nora.nerc.ac.uk:510473 2023-05-15T15:38:59+02:00 Utilizing spectral decomposition to determine the distribution of injected CO2 at the Snøhvit Field White, James C. Williams, Gareth A. Grude, Sissel Chadwick, R. Andrew 2015 text http://nora.nerc.ac.uk/id/eprint/510473/ https://nora.nerc.ac.uk/id/eprint/510473/1/gpr12217.pdf http://onlinelibrary.wiley.com/doi/10.1111/1365-2478.12217/abstract en eng Wiley https://nora.nerc.ac.uk/id/eprint/510473/1/gpr12217.pdf White, James C.; Williams, Gareth A.; Grude, Sissel; Chadwick, R. Andrew. 2015 Utilizing spectral decomposition to determine the distribution of injected CO2 at the Snøhvit Field. Geophysical Prospecting, 63 (5). 1213-1223. https://doi.org/10.1111/1365-2478.12217 <https://doi.org/10.1111/1365-2478.12217> cc_by_4 CC-BY Publication - Article PeerReviewed 2015 ftnerc https://doi.org/10.1111/1365-2478.12217 2023-02-04T19:41:26Z Time-lapse 3D seismic reflection data, covering the CO2 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 CO2 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 CO2 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 CO2, 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 Natural Environment Research Council: NERC Open Research Archive Barents Sea Geophysical Prospecting 63 5 1213 1223 |
institution |
Open Polar |
collection |
Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
English |
description |
Time-lapse 3D seismic reflection data, covering the CO2 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 CO2 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 CO2 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 CO2, 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 CO2 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 CO2 at the Snøhvit Field |
title_short |
Utilizing spectral decomposition to determine the distribution of injected CO2 at the Snøhvit Field |
title_full |
Utilizing spectral decomposition to determine the distribution of injected CO2 at the Snøhvit Field |
title_fullStr |
Utilizing spectral decomposition to determine the distribution of injected CO2 at the Snøhvit Field |
title_full_unstemmed |
Utilizing spectral decomposition to determine the distribution of injected CO2 at the Snøhvit Field |
title_sort |
utilizing spectral decomposition to determine the distribution of injected co2 at the snøhvit field |
publisher |
Wiley |
publishDate |
2015 |
url |
http://nora.nerc.ac.uk/id/eprint/510473/ https://nora.nerc.ac.uk/id/eprint/510473/1/gpr12217.pdf http://onlinelibrary.wiley.com/doi/10.1111/1365-2478.12217/abstract |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea Snøhvit |
genre_facet |
Barents Sea Snøhvit |
op_relation |
https://nora.nerc.ac.uk/id/eprint/510473/1/gpr12217.pdf White, James C.; Williams, Gareth A.; Grude, Sissel; Chadwick, R. Andrew. 2015 Utilizing spectral decomposition to determine the distribution of injected CO2 at the Snøhvit Field. Geophysical Prospecting, 63 (5). 1213-1223. https://doi.org/10.1111/1365-2478.12217 <https://doi.org/10.1111/1365-2478.12217> |
op_rights |
cc_by_4 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1111/1365-2478.12217 |
container_title |
Geophysical Prospecting |
container_volume |
63 |
container_issue |
5 |
container_start_page |
1213 |
op_container_end_page |
1223 |
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1766370431666749440 |