Pages that link to "Item:Q695713"

The following pages link to A multi-resolution workflow to generate high-resolution models constrained to dynamic data (Q695713):

Displaying 7 items.

• Local and global error models to improve uncertainty quantification (Q500756) (← links)
• 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 (Q1693616) (← links)
• Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification (Q1787655) (← links)
• Multifidelity framework for uncertainty quantification with multiple quantities of interest (Q2185990) (← links)
• Flow-based dissimilarity measures for reservoir models: a spatial-temporal tensor approach (Q2398874) (← links)
• Prediction of permeability of porous media using optimized convolutional neural networks (Q2683510) (← links)
• Hyperresolution and automated model building (Q4880540) (← links)