Physics-Coupled Machine Learning for Geological Carbon Storage Evaluation and Performance Analysis
16th International Conference on Greenhouse Gas Technologies (GHGT-16), Lyon, France, October 23-27, 2022
Liu, Guoxiang↗
Engineering topics
Vasylkivska, Veronika S.
Publications and source records attributed to Vasylkivska, Veronika S..
NRAP-Open-IAM: Open-Source Integrated Assessment Model
NRAP Open IAM is the latest evolution in a series of quantitative models developed under the U.S. Department of Energy’s National Risk Assessment Partnership (NRAP) to address risk assessment, risk management and containment assurance questions of geological carbon storage (GCS). NRAP Open IAM allows a user to define a site specific GCS scenario, characterize important site features, events, and processes (considering uncertainty), couple together reduced order models of various system components to rapidly forecast response to CO 2 injection, and perform stochastic analysis to quantify containment effectiveness, leakage risk, and impact to receptors of concern.
Vasylkivska, Veronika S.↗