Prediction-Focused Subsurface Modeling: Investigating the Need for Accuracy in Flow-Based Inverse ModelingMATHEMATICAL GEOSCIENCESScheidt, C., Renard, P., Caers, J.2015; 47 (2): 173-191
Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir caseGEOPHYSICSScheidt, C., Jeong, C., Mukerji, T., Caers, J.2015; 80 (5): M89-M12.
Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisalComputational GeosciencesScheidt, C., Tahmasebi, P., Pontiggia, M., Da Pra, A., Caers, J.2015
Quantifying Asymmetric Parameter Interactions in Sensitivity Analysis: Application to Reservoir ModelingMATHEMATICAL GEOSCIENCESFenwick, D., Scheidt, C., Caers, J.2014; 46 (4): 493-511
History matching and uncertainty quantification of facies models with multiple geological interpretationsCOMPUTATIONAL GEOSCIENCESPark, H., Scheidt, C., Fenwick, D., Boucher, A., Caers, J.2013; 17 (4): 609-621
A multi-resolution workflow to generate high-resolution models constrained to dynamic dataCOMPUTATIONAL GEOSCIENCESScheidt, C., Caers, J., Chen, Y., Durlofsky, L. J.2011; 15 (3): 545-563
Bootstrap confidence intervals for reservoir model selection techniquesCOMPUTATIONAL GEOSCIENCESScheidt, C., Caers, J.2010; 14 (2): 369-382
Uncertainty Quantification in Reservoir Performance Using Distances and Kernel Methods-Application to a West Africa Deepwater Turbidite ReservoirSPE JOURNALScheidt, C., Caers, J.2009; 14 (4): 680-692
Representing Spatial Uncertainty Using Distances and KernelsMATHEMATICAL GEOSCIENCESScheidt, C., Caers, J.2009; 41 (4): 397-419
Toward a reliable quantification of uncertainty on production forecasts: Adaptive experimental designOIL & GAS SCIENCE AND TECHNOLOGY-REVUE D IFP ENERGIES NOUVELLESScheidt, C., Zabalza-Mezghani, I., Feraille, M., Collombier, D.2007; 62 (2): 207-224