| Representing spatial uncertainty using distances and kernels C Scheidt, J Caers Mathematical Geosciences 41 (4), 397-419, 2009 | 309 | 2009 |
| Uncertainty Quantification in Reservoir Performance Using Distances and Kernel Methods--Application to a West Africa Deepwater Turbidite Reservoir C Scheidt, J Caers SPE Journal 14 (04), 680-692, 2009 | 205 | 2009 |
| Quantifying uncertainty in subsurface systems C Scheidt, L Li, J Caers John Wiley & Sons, 2018 | 176 | 2018 |
| History matching and uncertainty quantification of facies models with multiple geological interpretations H Park, C Scheidt, D Fenwick, A Boucher, J Caers Computational Geosciences 17, 609-621, 2013 | 130 | 2013 |
| Quantifying asymmetric parameter interactions in sensitivity analysis: application to reservoir modeling D Fenwick, C Scheidt, J Caers Mathematical Geosciences 46, 493-511, 2014 | 126 | 2014 |
| Method of modelling the production of an oil reservoir C Scheidt, I Zabalza-Mezghani, D Collombier, M Feraille US Patent 7,788,074, 2010 | 90 | 2010 |
| DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments J Park, G Yang, A Satija, C Scheidt, J Caers Computers & geosciences 97, 15-29, 2016 | 72 | 2016 |
| Prediction-Focused Subsurface Modeling: Investigating the Need for Accuracy in Flow-Based Inverse Modeling C Scheidt, P Renard, J Caers Mathematical Geosciences 47, 173-191, 2015 | 63 | 2015 |
| Direct forecasting of reservoir performance using production data without history matching A Satija, C Scheidt, L Li, J Caers Computational Geosciences 21, 315-333, 2017 | 58 | 2017 |
| Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case C Scheidt, C Jeong, T Mukerji, J Caers Geophysics 80 (5), M89-M12, 2015 | 48 | 2015 |
| Antarctic topographic realizations and geostatistical modeling used to map subglacial lakes EJ MacKie, DM Schroeder, J Caers, MR Siegfried, C Scheidt Journal of Geophysical Research: Earth Surface 125 (3), e2019JF005420, 2020 | 47 | 2020 |
| Stochastic simulation by image quilting of process-based geological models J Hoffimann, C Scheidt, A Barfod, J Caers Computers & Geosciences 106, 18-32, 2017 | 45 | 2017 |
| Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion L Yang, D Hyde, O Grujic, C Scheidt, J Caers Computers & geosciences 122, 54-67, 2019 | 41 | 2019 |
| Modeling uncertainty of complex earth systems in metric space J Caers, K Park, C Scheidt Handbook of geomathematics, 2010 | 39 | 2010 |
| Quantifying natural delta variability using a multiple‐point geostatistics prior uncertainty model C Scheidt, AM Fernandes, C Paola, J Caers Journal of Geophysical Research: Earth Surface 121 (10), 1800-1818, 2016 | 31 | 2016 |
| A multi-resolution workflow to generate high-resolution models constrained to dynamic data C Scheidt, J Caers, Y Chen, LJ Durlofsky Computational Geosciences 15, 545-563, 2011 | 30 | 2011 |
| Toward a reliable quantification of uncertainty on production forecasts: adaptive experimental designs C Scheidt, I Zabalza-Mezghani, M Feraille, D Collombier Oil & Gas Science and Technology-Revue de l'IFP 62 (2), 207-224, 2007 | 30 | 2007 |
| Bootstrap confidence intervals for reservoir model selection techniques C Scheidt, J Caers Computational Geosciences 14, 369-382, 2010 | 25 | 2010 |
| Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal C Scheidt, P Tahmasebi, M Pontiggia, A Da Pra, J Caers Computational Geosciences 19, 805-820, 2015 | 23 | 2015 |
| A new method for uncertainty quantification using distances and kernel methods. Application to a deepwater turbidite reservoir C Scheidt, J Caers SPE Journal 14 (4), 680-692, 2008 | 20 | 2008 |
