Analysis of time lapse seismic signal for an EOR and CCS site, Cranfield, MS
The Cranfield, MS EOR field site has been under CO2 flood by Denbury Onshore, LLC since 2008. More than 3 million tons of CO2 has been injected. Time-lapse 3D surface seismic data displayed a readily observable signal related to CO2 injection into the lower Tuscaloosa Formation. The intensity and th...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
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SEG
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/7173 |
| _version_ | 1848745290267361280 |
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| author | Ditkof, J. Meckel, T. Hovorka, S. Caspari, Eva Pevzner, Roman Urosevic, Milovan |
| author2 | SEG |
| author_facet | SEG Ditkof, J. Meckel, T. Hovorka, S. Caspari, Eva Pevzner, Roman Urosevic, Milovan |
| author_sort | Ditkof, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The Cranfield, MS EOR field site has been under CO2 flood by Denbury Onshore, LLC since 2008. More than 3 million tons of CO2 has been injected. Time-lapse 3D surface seismic data displayed a readily observable signal related to CO2 injection into the lower Tuscaloosa Formation. The intensity and the spatial distribution of time-lapse (TL) signal required further analysis. For that purpose, we carried out fluid substitution analysis, followed by volumes cross-equalization, well ties, and acoustic impedance inversions. A Gassmann workflow was used to predict the response to injected CO2 at two well locations. The 31F-2 observation well, located in a detailed area of study (DAS), was used to compare the results of time-lapse sonic data with fluid substitution results. The objective was to predict a post-injection saturation curve. A second well, well 28-1, was used to help predict an acoustic impedance change in the reservoir to use for subsequent inversion. Finally, a model based inversion was performed to quantify the impedance change between two cross-equalized time-lapse data sets. The acoustic impedance (AI) difference obtained through the inversion process is higher than that predicted for in the 28-1 injection well. The time-lapse AI signal is however in agreement with the large velocity change computed from the time delay along the marker horizon below the reservoir. |
| first_indexed | 2025-11-14T06:15:00Z |
| format | Conference Paper |
| id | curtin-20.500.11937-7173 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:15:00Z |
| publishDate | 2012 |
| publisher | SEG |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-71732018-12-14T00:46:55Z Analysis of time lapse seismic signal for an EOR and CCS site, Cranfield, MS Ditkof, J. Meckel, T. Hovorka, S. Caspari, Eva Pevzner, Roman Urosevic, Milovan SEG inversion sequestration 4D time-lapse impedance The Cranfield, MS EOR field site has been under CO2 flood by Denbury Onshore, LLC since 2008. More than 3 million tons of CO2 has been injected. Time-lapse 3D surface seismic data displayed a readily observable signal related to CO2 injection into the lower Tuscaloosa Formation. The intensity and the spatial distribution of time-lapse (TL) signal required further analysis. For that purpose, we carried out fluid substitution analysis, followed by volumes cross-equalization, well ties, and acoustic impedance inversions. A Gassmann workflow was used to predict the response to injected CO2 at two well locations. The 31F-2 observation well, located in a detailed area of study (DAS), was used to compare the results of time-lapse sonic data with fluid substitution results. The objective was to predict a post-injection saturation curve. A second well, well 28-1, was used to help predict an acoustic impedance change in the reservoir to use for subsequent inversion. Finally, a model based inversion was performed to quantify the impedance change between two cross-equalized time-lapse data sets. The acoustic impedance (AI) difference obtained through the inversion process is higher than that predicted for in the 28-1 injection well. The time-lapse AI signal is however in agreement with the large velocity change computed from the time delay along the marker horizon below the reservoir. 2012 Conference Paper http://hdl.handle.net/20.500.11937/7173 10.1190/segam2012-0912.1 SEG restricted |
| spellingShingle | inversion sequestration 4D time-lapse impedance Ditkof, J. Meckel, T. Hovorka, S. Caspari, Eva Pevzner, Roman Urosevic, Milovan Analysis of time lapse seismic signal for an EOR and CCS site, Cranfield, MS |
| title | Analysis of time lapse seismic signal for an EOR and CCS site, Cranfield, MS |
| title_full | Analysis of time lapse seismic signal for an EOR and CCS site, Cranfield, MS |
| title_fullStr | Analysis of time lapse seismic signal for an EOR and CCS site, Cranfield, MS |
| title_full_unstemmed | Analysis of time lapse seismic signal for an EOR and CCS site, Cranfield, MS |
| title_short | Analysis of time lapse seismic signal for an EOR and CCS site, Cranfield, MS |
| title_sort | analysis of time lapse seismic signal for an eor and ccs site, cranfield, ms |
| topic | inversion sequestration 4D time-lapse impedance |
| url | http://hdl.handle.net/20.500.11937/7173 |