Céline Scheidt

Representing Spatial Uncertainty Using Distances and Kernels

Céline Scheidt, Jef Caers · Mathematical Geosciences · 2008 · 260 citations

Machine Vision, Engineering, Data Science +6

Uncertainty Quantification in Reservoir Performance Using Distances and Kernel Methods—Application to a West Africa Deepwater Turbidite Reservoir

Céline Scheidt, Jef Caers · SPE Journal · 2009 · 166 citations

Engineering, Machine Learning, Spatial Uncertainty +16

Quantifying Asymmetric Parameter Interactions in Sensitivity Analysis: Application to Reservoir Modeling

Darryl Fenwick, Céline Scheidt, Jef Caers · Mathematical Geosciences · 2014 · 123 citations

Reservoir Engineering, Engineering, Uncertainty Quantification +9

History matching and uncertainty quantification of facies models with multiple geological interpretations

Hyucksoo Park, Céline Scheidt, Darryl Fenwick et al. · Computational Geosciences · 2013 · 100 citations

Facies Analysis, Engineering, Structural Geology +13

DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments

Jihoon Park, Guang Yang, Addy Satija et al. · Computers & Geosciences · 2016 · 76 citations

Environmental Monitoring, Engineering, Uncertainty Quantification +11