4 papers
Resolution-Aware Experimental Design under Partial Identifiability
Sofianos Panagiotis Fotias
Experimental design is commonly framed as choosing the experiment expected to provide the most information. Under partial identifiability however, persistent nuisance uncertainty c…
Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation
Sofianos Panagiotis Fotias, Vassilis Gaganis
Closed-loop management of geological CO2 storage requires control policies that adapt to uncertain reservoir behavior while relying on observations that are realistically available…
Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications
Sofianos Panagiotis Fotias, Vassilis Gaganis
Bayesian Optimization is an iterative method, tailored to optimizing expensive black box objective functions. Surrogate models like Gaussian Processes, which are the gold standard…
Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations
Sofianos Panagiotis Fotias, Vassilis Gaganis
Carbon Capture and Storage (CCS) stands as a pivotal technology for fostering a sustainable future. The process, which involves injecting supercritical CO into underground form…