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Bayesian Rock Physics Inversion for CO2 Storage MonitoringNormal access

Authors: B. Dupuy, P. Nordmann, A. Romdhane and P. Eliasson
Event name: Petroleum Geostatistics 2019
Session: Seismic Reservoir Characterization II
Publication date: 02 September 2019
DOI: 10.3997/2214-4609.201902269
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1.47Mb )
Price: € 20

We present a two-step inversion workflow for quantitative CO2 monitoring. In the first inversion step, we carry out CSEM inversion and seismic FWI with uncertainty assessment. The uncertainty is propagated in the second step (rock physics inversion) using a Bayesian formulation. We show sensitivity tests and case study at Sleipner to highlight the importance of uncertainty estimation in the full workflow.

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