Proposes GP-Perm kernel and DKL-DS model for permutation-invariant Bayesian optimization applied to well placement in CCS, evaluated on synthetic benchmarks and one real formation case.
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Comparative evaluation of Bayesian Neural Network surrogates versus Gaussian Processes in Bayesian Optimization applied to Carbon Capture and Storage operations, presented as the first such application in reservoir engineering.
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Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications
Proposes GP-Perm kernel and DKL-DS model for permutation-invariant Bayesian optimization applied to well placement in CCS, evaluated on synthetic benchmarks and one real formation case.
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Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations
Comparative evaluation of Bayesian Neural Network surrogates versus Gaussian Processes in Bayesian Optimization applied to Carbon Capture and Storage operations, presented as the first such application in reservoir engineering.