Céline Scheidt is a senior research engineer in the Department of Energy Resources Engineering at Stanford University. She has worked extensively in uncertainty quantification, sensitivity analysis, history matching and in the use of distance-based methods in reservoir modeling. She has authored 8 papers, co-authored 2 book chapters and 1 patent. She obtained her PhD at Strasbourg University and the IFP (France) in applied mathematics, with a focus on the use of experimental design and geostatistical methods to model response surfaces.

Academic Appointments

  • Sr Research Engineer, Energy Resources Engineering

Professional Education

  • Ph.D, ULP Strasbourg and IFP (France), Applied Mathematics (2006)
  • MS, ULP, Strasbourg (France), Mathematics for Industry – Specialty in Quality/Reliability (2003)

Journal Articles

  • Quantifying Asymmetric Parameter Interactions in Sensitivity Analysis: Application to Reservoir Modeling MATHEMATICAL GEOSCIENCES Fenwick, D., Scheidt, C., Caers, J. 2014; 46 (4): 493-511
  • Prediction-Focused Subsurface Modeling: Investigating the Need for Accuracy in Flow-Based Inverse Modeling Mathematical Geosciences Scheidt, C., Renard, P., Caers, J. 2014
  • History matching and uncertainty quantification of facies models with multiple geological interpretations COMPUTATIONAL GEOSCIENCES Park, 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 data COMPUTATIONAL GEOSCIENCES Scheidt, C., Caers, J., Chen, Y., Durlofsky, L. J. 2011; 15 (3): 545-563
  • Bootstrap confidence intervals for reservoir model selection techniques COMPUTATIONAL GEOSCIENCES Scheidt, 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 Reservoir SPE JOURNAL Scheidt, C., Caers, J. 2009; 14 (4): 680-692
  • Representing Spatial Uncertainty Using Distances and Kernels MATHEMATICAL GEOSCIENCES Scheidt, C., Caers, J. 2009; 41 (4): 397-419
  • Toward a reliable quantification of uncertainty on production forecasts: Adaptive experimental design OIL & GAS SCIENCE AND TECHNOLOGY-REVUE D IFP ENERGIES NOUVELLES Scheidt, C., Zabalza-Mezghani, I., Feraille, M., Collombier, D. 2007; 62 (2): 207-224