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 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

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Official URL: http://onlinelibrary.wiley.com/doi/10.1111/1365-24...

Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1111/1365-2478.12217
ISSN:	0016-8025
Date made live:	26 Mar 2015 13:57 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/510473

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1111/1365-2478.12217

ISSN:

0016-8025

Date made live:

26 Mar 2015 13:57 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/510473