Quantitative seismic analysis of a thin layer of CO2 in the Sleipner injection plume

Geophysics

Volumn 77, Issue 6, 2012, Pages

  Williams, Gareth ^a   Chadwick, Andrew ^a  

^a BRITISH GEOLOGICAL SURVEY   (United Kingdom)

Author keywords

4D; Resolution; Rock physics; Spectral analysis

Indexed keywords

OPTICAL RESOLVING POWER; REFLECTION; SEISMOLOGY; SPECTRUM ANALYSIS; TUNING; WIGNER-VILLE DISTRIBUTION;

FREQUENCY ANALYSIS; FREQUENCY CONTENTS; ROCK PHYSICS; SEISMIC REFLECTION DATA; SMOOTHED PSEUDO WIGNER VILLE DISTRIBUTION; SPECTRAL DECOMPOSITION ALGORITHM; SPECTRAL INFORMATION; TEMPORAL RESOLUTION;

CARBON DIOXIDE;

ALGORITHM; AMPLITUDE; CARBON DIOXIDE; DATA SET; PLUME; QUANTITATIVE ANALYSIS; ROCK PROPERTY; SEISMIC DATA; SEISMIC REFLECTION; SEISMOLOGY;

EID: 84870162225     PISSN: 00168033     EISSN: None     Source Type: Journal    
DOI: 10.1190/geo2011-0449.1     Document Type: Article

References (28)

1. Alnes, H., O. Eiken, S. Nooner, G. Sasagawa, T. Stenvold and M. Zumberge, 2011, Results from Sleipner gravity monitoring: Updated density and temperature distribution of the CO2 plume: Energy Procedia, 4, 5504-5511, doi: http://dx.doi.org/10.1016/j.egypro.2011.02.536. http://dx.doi.org/10.1016/j.egypro.2011.02.536
2. Arts, R. J., R. A. Chadwick, O. Eiken, S. Thibeau and S. Nooner, 2008, Ten years' experience of monitoring CO2 injection in the Utsira Sand at Sleipner, offshore Norway: First Break, 26, 65-72. 0263-5046
3. Arts, R. J., O. Eiken, R. A. Chadwick, P. Zweigel, L. Van Der Meer and B. Zinszner, 2004, Monitoring of CO2 injected at Sleipner using time-lapse seismic data: Energy, 29, 1383-1392, doi: http://dx.doi.org/10.1016/j.energy.2004.03.072. http://dx.doi.org/10.1016/j.energy.2004.03.072 ENGYD4 0149-9386
4. Bradford, S. C., J. Yang and T. Heaton, 2006, Variations in the dynamic properties of structures: The Wigner-Ville distribution: Proceedings of the 8th U.S. National Conference on Earthquake Engineering.
5. Broto, K., P. Ricarte, F. Jurado, G. Etienne and C. Le Bras, 2011, Improving seismic monitoring by 4D joint prestack traveltime tomography - Application to the Sleipner CO2 storage case: 1st Sustainable Earth Sciences Conference and Exhibition - Technologies for Sustainable Use of the Deep Sub-surface.
6. Chadwick, R. A., R. Arts and O. Eiken, 2005, 4D seismic quantification of a CO2 plume at Sleipner, North Sea, in A. G. Dore and B. Vining, eds., Petroleum geology: Northwest Europe and global perspectives: Published by the Geological Society, 1385-1399.
7. Chadwick, R. A., R. Arts, O. Eiken, G. A. Kirby, E. Lindeberg and P. Zweigel, 2004, 4D seismic imaging of a CO2 bubble at the Sleipner Field, central North Sea, in R. J. Davies, J. A. Cartwright, S. A. Stewart, M. Lappin and J. R. Underhill, eds., 3D seismic technology: Application to the exploration of sedimentary basins: Geological Society, 311-320.
8. Chadwick, R. A., D. Noy, R. Arts and O. Eiken, 2009, Latest time-lapse seismic data from Sleipner yield new insights into CO2 plume development, in Energy Procedia, no. 1, issue 1: Greenhouse gas control technologies 9: 9th International Conference on Greenhouse Gas Control Technologies, 2103-2110.
9. Chadwick, R. A. and D. J. Noy, 2010, History - Matching flow simulations and time-lapse seismic data from the Sleipner CO2 plume, in A. G. Dore and B. Vining, eds., Petroleum geology: Northwest Europe and global perspectives: Geological Society, 1171-1182.
10. Chakraborty, A. and D. Okaya, 1995, Frequency-time decomposition of seismic data using wavelet-based methods: Geophysics, 60, 1906-1916, doi: http://dx.doi.org/10.1190/1.1443922. http://dx.doi.org/10.1190/1.1443922 GPYSA7 0016-8033
11. Chen, G., G. Matteucci, B. Fahmy and C. Finn, 2008, Spectral-decomposition response to reservoir fluids from a deepwater West Africa reservoir: Geophysics, 73, no. 6, C23-C30, doi: http://dx.doi.org/10.1190/1.2978337. http://dx.doi.org/10.1190/1.2978337 GPYSA7 0016-8033
12. Delépine, N., V. Clochard, K. Labat and P. Ricarte, 2011, Post-stack stratigraphic inversion workflow applied to carbon dioxide storage: Application to the saline aquifer of Sleipner field: Geophysical Prospecting, 59, 132-144, doi: http://dx.doi.org/10.1190/1.3054659. http://dx.doi.org/10.1190/1.3054659 GPPRAR 0016-8025
13. Ghaderi, A. and M. Landrø, 2009, Estimation of thickness and velocity changes of injected carbon dioxide layers from prestack time-lapse seismic data: Geophysics, 74, no. 2, O17-O28, doi: http://dx.doi.org/10.1190/1.3054659. http://dx.doi.org/10.1190/1.3054659 GPYSA7 0016-8033
14. Laughlin, K., P. Garossino and G. Partyka, 2003, Spectral decomposition for seismic stratigraphic patterns: Search and discovery, article 40096, 4 pp., http://www.searchanddiscovery.net/documents/geophysical/2003/laughlin/index.htm, accessed 12 January 2012.
15. Li, Y. and X. Zheng, 2008, Spectral decomposition using Wigner-Ville distribution with applications to carbonate reservoir characterization: The Leading Edge, 27, 1050-1057, doi: http://dx.doi.org/10.1190/1.2967559. http://dx.doi.org/10.1190/1.2967559 1070-485X
16. Mahendra, K., S. Sharma, B. Kumar and A. Srivastava, 2006, An approach to net thickness estimation using spectral decomposition: Geohorizons, 11, no. 1, 58-62.
17. Partyka, G., J. Gridley and J. Lopez, 1999, Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge, 18, 353-360, doi: http://dx.doi.org/10.1190/1.1438295. http://dx.doi.org/10.1190/1.1438295 1070-485X
18. Prieto, G. A., F. L. Vernon, G. Masters and D. J. Thomson, 2005, Multitaper Wigner-Ville spectrum for detecting dispersive signals from earthquake records: Proceedings of the Thirty-Ninth Asilomar Conference on Signals, Systems, and Computers, 938-941.
19. Ralston, M., M. Rauch-Davies, K. Li-Chun, X. Hui-Ping and Y. Di-Sheng, 2007, General method to reduce cross-term interference in the Wigner-Ville decomposition: 77th Annual International Meeting, SEG, Expanded Abstracts, 870-874.
20. Rossi, G., R. A. Chadwick and G. A. Williams, 2012, Sleipner CCS site: Velocity and attenuation model from seismic tomography: EGU general assembly 2012, geophysical research abstracts, 14, http://www.geophys-res-abstr.net, accessed 21 May 2012.
21. Rubino, J. G. and D. R. Velis, 2011, Seismic characterization of thin beds containing patchy carbon dioxide-brine distributions: A study based on numerical simulations: Geophysics, 76, no. 3, R57-R67, doi: http://dx.doi.org/10.1190/1.3556120. http://dx.doi.org/10.1190/1.3556120 GPYSA7 0016-8033
22. Sinha, S., P. S. Routh, P. D. Anno and J. P. Castagna, 2005, Spectral decomposition of seismic data with continuous-wavelet transform: Geophysics, 70, no. 6, P19-P25, doi: http://dx.doi.org/10.1190/1.2127113. http://dx.doi.org/10.1190/1.2127113 GPYSA7 0016-8033
23. Sturton, S., M. L. Buddensiek and M. Dillen, 2010, AVO analysis of thin layers - application to CO2 storage at Sleipner: presented at the 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC.
24. Velis, D. R. and J. G. Rubino, 2011, Quantitative characterization of CO2-bearing thin layers at the Sleipner field using spectral inversion: 81st Annual International Meeting, SEG, Expanded Abstracts, 2502-2506.
25. Ville, J., 1948, Théorie et applications de la notion de signal analytique: Cable Transmission, 2A, 61-74.
26. Wang, Y., 2007, Seismic time-frequency spectral decomposition by matching pursuit: Geophysics, 72, no. 1, V13-V20, doi: http://dx.doi.org/10.1190/1.2387109. http://dx.doi.org/10.1190/1.2387109 GPYSA7 0016-8033
27. Wigner, E. P., 1932, On the quantum correction for thermodynamic equilibrium: Physical Review, 40, 749-759, doi: http://dx.doi.org/10.1103/PhysRev.40.749. http://dx.doi.org/10.1103/PhysRev.40.749 PHRVAO 0031-899X
28. Wu, X. and T. Liu, 2009, Spectral decomposition of seismic data with reassigned smoothed pseudo Wigner-Ville distribution: Journal of Applied Geophysics, 68, 386-393, doi: http://dx.doi.org/10.1016/j.jappgeo.2009.03.004. http://dx.doi.org/10.1016/j.jappgeo.2009.03.004 JAGPEA 0926-9851