Abstract: Reduced-order modeling with sparse polynomial chaos expansion and dimension reduction for evaluating the impact of CO<sub>2</sub> and brine leakage on groundwater (2016 AGU Fall Meeting)

Reduced-order modeling with sparse polynomial chaos expansion and dimension reduction for evaluating the impact of CO₂ and brine leakage on groundwater

Yaning Liu¹, Liange Zheng² and George Shu Heng Pau¹, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Energy Geosciences Division, Berkeley, United States

Back to: Uncertainty Quantification, Stochastic Inversion, and Machine Learning Methods in Water and Environmental Management II Posters

Reduced-order modeling with sparse polynomial chaos expansion and dimension reduction for evaluating the impact of CO2 and brine leakage on groundwater

Reduced-order modeling with sparse polynomial chaos expansion and dimension reduction for evaluating the impact of CO₂ and brine leakage on groundwater