Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion

A concept for data-driven uncertainty quantification and its application to carbon dioxide storage in geological formations

Global sensitivity analysis: A flexible and efficient framework with an example from stochastic hydrogeology

An integrative approach to robust design and probabilistic risk assessment for CO2 storage in geological formations

Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions: methodology and application to history matching for carbon dioxide storage in geological formations

Brine migration resulting from CO2 injection into saline aquifers – An approach to risk estimation including various levels of uncertainty