Bayesian rock physics inversion for CO₂ storage monitoring

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