Celine Scheidt
Cited by
Cited by
Representing spatial uncertainty using distances and kernels
C Scheidt, J Caers
Mathematical Geosciences 41 (4), 397-419, 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
Quantifying uncertainty in subsurface systems
C Scheidt, L Li, J Caers
John Wiley & Sons, 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
Quantifying asymmetric parameter interactions in sensitivity analysis: application to reservoir modeling
D Fenwick, C Scheidt, J Caers
Mathematical Geosciences 46, 493-511, 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
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
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
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
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
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
Stochastic simulation by image quilting of process-based geological models
J Hoffimann, C Scheidt, A Barfod, J Caers
Computers & Geosciences 106, 18-32, 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
Modeling uncertainty of complex earth systems in metric space
J Caers, K Park, C Scheidt
Handbook of geomathematics, 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
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
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
Bootstrap confidence intervals for reservoir model selection techniques
C Scheidt, J Caers
Computational Geosciences 14, 369-382, 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
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
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