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dc.contributor.authorGóes Castro Meira, Mateus
dc.contributor.supervisorProf. Boris Gurevichen_US

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.

dc.publisherCurtin Universityen_US
dc.titleSeismic monitoring of carbonate reservoirs using stochastic time-lapse inversionen_US
curtin.departmentWestern Australian School of Minesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US

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