Seismic Reservoir Characterization for CCS Screening – Case Study from Offshore Australia

This paper discusses the benefits of using an automated approach to quantitative seismic AVO (amplitude-versus-offset) reservoir characterization. This includes traditionally time-consuming manual tasks such as the well-seismic tie, rock physics modeling and the prior parameterization for a joint Bayesian litho-elastic inversion scheme. We present real data examples where automated technologies offered significant efficiency gains and data insight for the expert for CCS screening on large seismic datasets with sparse well control over the target depth.