Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion
dc.contributor.author | Góes Castro Meira, Mateus | |
dc.contributor.supervisor | Prof. Boris Gurevich | en_US |
dc.date.accessioned | 2017-12-19T01:24:04Z | |
dc.date.available | 2017-12-19T01:24:04Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/59651 | |
dc.description.abstract |
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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Seismic monitoring of carbonate reservoirs using stochastic time-lapse inversion | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | Western Australian School of Mines | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |