Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion
I investigate the capability of stochastic inversion to estimate dynamic reservoir properties and their uncertainty from time-lapse seismic data. To this end, I develop a multidisciplinary stochastic inversion workflow and test its performance on a synthetic dataset based on flow simulations from an...
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| Format: | Thesis |
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Curtin University
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/59651 |
| _version_ | 1848760532348174336 |
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| author | Góes Castro Meira, Mateus |
| author_facet | Góes Castro Meira, Mateus |
| author_sort | Góes Castro Meira, Mateus |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | I investigate the capability of stochastic inversion to estimate dynamic reservoir properties and their uncertainty from time-lapse seismic data. To this end, I develop a multidisciplinary stochastic inversion workflow and test its performance on a synthetic dataset based on flow simulations from an Australian CO2 geosequestration project. Application of this workflow to a field dataset over a producing carbonate reservoir offshore Brazil gives dynamic properties estimates consistent with the flow simulation results. |
| first_indexed | 2025-11-14T10:17:16Z |
| format | Thesis |
| id | curtin-20.500.11937-59651 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:17:16Z |
| publishDate | 2016 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-596512017-12-19T01:24:04Z Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion Góes Castro Meira, Mateus I investigate the capability of stochastic inversion to estimate dynamic reservoir properties and their uncertainty from time-lapse seismic data. To this end, I develop a multidisciplinary stochastic inversion workflow and test its performance on a synthetic dataset based on flow simulations from an Australian CO2 geosequestration project. Application of this workflow to a field dataset over a producing carbonate reservoir offshore Brazil gives dynamic properties estimates consistent with the flow simulation results. 2016 Thesis http://hdl.handle.net/20.500.11937/59651 Curtin University fulltext |
| spellingShingle | Góes Castro Meira, Mateus Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion |
| title | Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion |
| title_full | Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion |
| title_fullStr | Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion |
| title_full_unstemmed | Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion |
| title_short | Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion |
| title_sort | seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion |
| url | http://hdl.handle.net/20.500.11937/59651 |