Unlocking New Insights into Reservoir Deformation Through Bayesian Inversion of Surveillance Data

We developed an interactive dashboard around an efficient inversion workflow to estimate spatial and temporal reservoir deformation from various geodetic displacement measurements. Our web-based application integrates surface deformation data from sources such as acoustic ranging, InSAR, GPS, gravimetry, optical leveling, and pressure monitoring transducers. The inversion algorithm produces history-matched reservoir deformation models using the Bayesian Maximum A Posterior approach. This tool enables global asset utilization, guiding engineers through a streamlined process to generate subsurface deformation maps routinely. The workflow includes interactive quality control, assurance, and diagnostics for performance evaluation. Compatible with heterogeneous Finite Element geomechanical models, our algorithm significantly accelerates the calibration of 3D models to geodetic observations compared to classical deterministic forward models. Applied to the Ormen Lange field and its geodetic displacement observations, the workflow successfully history-matches seafloor displacement measurements, indicating potential non-elastic slip deformation in the side- and/or overburden.