Application of diffracted wave analysis to time-lapse seismic monitoring of CO2 geosequestration
Successful implementation of carbon capture and sequestration technology requires monitoring techniques for tracking CO2 plume evolution in the subsurface and early leakage detection. Application of time-lapse seismic data for these purposes can often be challenging in low signal/noise ratio conditi...
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| Format: | Thesis |
| Language: | English |
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Curtin University
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/1257 |
| _version_ | 1848743616548175872 |
|---|---|
| author | Alonaizi, Faisal |
| author_facet | Alonaizi, Faisal |
| author_sort | Alonaizi, Faisal |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Successful implementation of carbon capture and sequestration technology requires monitoring techniques for tracking CO2 plume evolution in the subsurface and early leakage detection. Application of time-lapse seismic data for these purposes can often be challenging in low signal/noise ratio conditions. The research is focussed on developing a robust seismic imaging algorithm for CO2 geosequestration monitoring, based on diffracted waves analysis. The algorithm is tested on several datasets, including CO2CRC Otway project time-lapse seismic data. |
| first_indexed | 2025-11-14T05:48:24Z |
| format | Thesis |
| id | curtin-20.500.11937-1257 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:48:24Z |
| publishDate | 2014 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-12572017-02-20T06:39:27Z Application of diffracted wave analysis to time-lapse seismic monitoring of CO2 geosequestration Alonaizi, Faisal Successful implementation of carbon capture and sequestration technology requires monitoring techniques for tracking CO2 plume evolution in the subsurface and early leakage detection. Application of time-lapse seismic data for these purposes can often be challenging in low signal/noise ratio conditions. The research is focussed on developing a robust seismic imaging algorithm for CO2 geosequestration monitoring, based on diffracted waves analysis. The algorithm is tested on several datasets, including CO2CRC Otway project time-lapse seismic data. 2014 Thesis http://hdl.handle.net/20.500.11937/1257 en Curtin University fulltext |
| spellingShingle | Alonaizi, Faisal Application of diffracted wave analysis to time-lapse seismic monitoring of CO2 geosequestration |
| title | Application of diffracted wave analysis to time-lapse seismic monitoring of CO2 geosequestration |
| title_full | Application of diffracted wave analysis to time-lapse seismic monitoring of CO2 geosequestration |
| title_fullStr | Application of diffracted wave analysis to time-lapse seismic monitoring of CO2 geosequestration |
| title_full_unstemmed | Application of diffracted wave analysis to time-lapse seismic monitoring of CO2 geosequestration |
| title_short | Application of diffracted wave analysis to time-lapse seismic monitoring of CO2 geosequestration |
| title_sort | application of diffracted wave analysis to time-lapse seismic monitoring of co2 geosequestration |
| url | http://hdl.handle.net/20.500.11937/1257 |