CO 2 storage in the high Arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning
ABSTRACT The sequestration of CO 2 in subsurface reservoirs constitutes an immediate counter‐measure to reduce anthropogenic emissions of CO 2 , now recognized by international scientific panels to be the single most critical factor driving the observed global climatic warming. To ensure and verify...
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crwiley:10.1111/1365-2478.12637 2024-06-02T08:02:05+00:00 CO 2 storage in the high Arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning Lubrano Lavadera, P. Kühn, D. Dando, B.D.E. Lecomte, I. Senger, K. Drottning, Å. Norges Forskningsråd 2018 http://dx.doi.org/10.1111/1365-2478.12637 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1365-2478.12637 https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.12637 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/1365-2478.12637 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Geophysical Prospecting volume 66, issue 6, page 1180-1200 ISSN 0016-8025 1365-2478 journal-article 2018 crwiley https://doi.org/10.1111/1365-2478.12637 2024-05-03T10:47:40Z ABSTRACT The sequestration of CO 2 in subsurface reservoirs constitutes an immediate counter‐measure to reduce anthropogenic emissions of CO 2 , now recognized by international scientific panels to be the single most critical factor driving the observed global climatic warming. To ensure and verify the safe geological containment of CO 2 underground, monitoring of the CO 2 site is critical. In the high Arctic, environmental considerations are paramount and human impact through, for instance, active seismic surveys, has to be minimized. Efficient seismic modelling is a powerful tool to test the detectability and imaging capability prior to acquisition and thus improve the characterization of CO 2 storage sites, taking both geological setting and seismic acquisition set‐up into account. The unique method presented here avoids the costly generation of large synthetic data sets by employing point spread functions to directly generate pre‐stack depth‐migrated seismic images. We test both a local‐target approach using an analytical filter assuming an average velocity and a full‐field approach accounting for the spatial variability of point spread functions. We assume a hypothetical CO 2 plume emplaced in a sloping aquifer inspired by the conditions found at the University of Svalbard CO 2 lab close to Longyearbyen, Svalbard, Norway, constituting an unconventional reservoir–cap rock system. Using the local‐target approach, we find that even the low‐to‐moderate values of porosity (5%–18%) measured in the reservoir should be sufficient to induce significant change in seismic response when CO 2 is injected. The sensitivity of the seismic response to changes in CO 2 saturation, however, is limited once a relatively low saturation threshold of 5% is exceeded. Depending on the illumination angle provided by the seismic survey, the quality of the images of five hypothetical CO 2 plumes of varying volume differs depending on the steepness of their flanks. When comparing the resolution of two orthogonal 2D surveys to a 3D ... Article in Journal/Newspaper Arctic Longyearbyen Svalbard Wiley Online Library Arctic Longyearbyen Norway Svalbard Geophysical Prospecting 66 6 1180 1200 |
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Open Polar |
collection |
Wiley Online Library |
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crwiley |
language |
English |
description |
ABSTRACT The sequestration of CO 2 in subsurface reservoirs constitutes an immediate counter‐measure to reduce anthropogenic emissions of CO 2 , now recognized by international scientific panels to be the single most critical factor driving the observed global climatic warming. To ensure and verify the safe geological containment of CO 2 underground, monitoring of the CO 2 site is critical. In the high Arctic, environmental considerations are paramount and human impact through, for instance, active seismic surveys, has to be minimized. Efficient seismic modelling is a powerful tool to test the detectability and imaging capability prior to acquisition and thus improve the characterization of CO 2 storage sites, taking both geological setting and seismic acquisition set‐up into account. The unique method presented here avoids the costly generation of large synthetic data sets by employing point spread functions to directly generate pre‐stack depth‐migrated seismic images. We test both a local‐target approach using an analytical filter assuming an average velocity and a full‐field approach accounting for the spatial variability of point spread functions. We assume a hypothetical CO 2 plume emplaced in a sloping aquifer inspired by the conditions found at the University of Svalbard CO 2 lab close to Longyearbyen, Svalbard, Norway, constituting an unconventional reservoir–cap rock system. Using the local‐target approach, we find that even the low‐to‐moderate values of porosity (5%–18%) measured in the reservoir should be sufficient to induce significant change in seismic response when CO 2 is injected. The sensitivity of the seismic response to changes in CO 2 saturation, however, is limited once a relatively low saturation threshold of 5% is exceeded. Depending on the illumination angle provided by the seismic survey, the quality of the images of five hypothetical CO 2 plumes of varying volume differs depending on the steepness of their flanks. When comparing the resolution of two orthogonal 2D surveys to a 3D ... |
author2 |
Norges Forskningsråd |
format |
Article in Journal/Newspaper |
author |
Lubrano Lavadera, P. Kühn, D. Dando, B.D.E. Lecomte, I. Senger, K. Drottning, Å. |
spellingShingle |
Lubrano Lavadera, P. Kühn, D. Dando, B.D.E. Lecomte, I. Senger, K. Drottning, Å. CO 2 storage in the high Arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning |
author_facet |
Lubrano Lavadera, P. Kühn, D. Dando, B.D.E. Lecomte, I. Senger, K. Drottning, Å. |
author_sort |
Lubrano Lavadera, P. |
title |
CO 2 storage in the high Arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning |
title_short |
CO 2 storage in the high Arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning |
title_full |
CO 2 storage in the high Arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning |
title_fullStr |
CO 2 storage in the high Arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning |
title_full_unstemmed |
CO 2 storage in the high Arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning |
title_sort |
co 2 storage in the high arctic: efficient modelling of pre‐stack depth‐migrated seismic sections for survey planning |
publisher |
Wiley |
publishDate |
2018 |
url |
http://dx.doi.org/10.1111/1365-2478.12637 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1365-2478.12637 https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.12637 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/1365-2478.12637 |
geographic |
Arctic Longyearbyen Norway Svalbard |
geographic_facet |
Arctic Longyearbyen Norway Svalbard |
genre |
Arctic Longyearbyen Svalbard |
genre_facet |
Arctic Longyearbyen Svalbard |
op_source |
Geophysical Prospecting volume 66, issue 6, page 1180-1200 ISSN 0016-8025 1365-2478 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/1365-2478.12637 |
container_title |
Geophysical Prospecting |
container_volume |
66 |
container_issue |
6 |
container_start_page |
1180 |
op_container_end_page |
1200 |
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1800746573938819072 |