- Manceau, E., Zabalza-Mezghani, I., and Feraille M. (2002) Cougar_Opt software user Manual, Version 2.0, IFP. [Google Scholar]
- Manceau, E., Feraille, M., Zabalza-Mezghani, I., Portella, R. and Reis, L.C. (2005) Advanced risk analysis approach for optimization of a water injection program - Illustration on a Brazilian field case, SPE-94845. [Google Scholar]
- Johnson, M. E.,Moore, L. M. and Ylvisaker, D. (1990) Minimax and Maximin distance designs. J. Stat. Plan. Infer., 26, 131–148. [CrossRef] [MathSciNet] [Google Scholar]
- Sacks, J.,Schiller, S. and Welch, W. (1989) Design for computer Experiments. Technometrics, 31, 41–47. [Google Scholar]
- Sacks, J.,Welch, W.,Mitchell, T., and Wynn, P. (1989) Design and Analysis of Computer Experiments (with discussion). Stat. Sci., 4, 409–435. [Google Scholar]
- Chilès J.-P. and Delfiner, P. (1999) Geostatistics, Modeling Spatial Uncertainty, Wiley Series in probability and statistics. [Google Scholar]
- Nelder, J.A.,Mead, R. (1965) A simplex Method for Optimization. Comput. J., 7, 308. [Google Scholar]
- Currin, C.,Mitchell, T.J.,Morris, M.D. and Ylvisaker, D. (1991) Bayesian prediction of deterministic functions, with an application to the design an analysis of computer experiments. J. Am. Stat. Assoc., 86, 953–963. [CrossRef] [MathSciNet] [Google Scholar]
- Fang, K.T., Li, R. and Sudjiants, A. (2005) Design and Modeling for Computer Experiments, Chapman & Hall/CRC; London. [Google Scholar]
- Santner, T.J., Williams, B.J. and Notz, W.I. (2003) The Design and Analysis of Computer Experiments, Springer Series in Statistics. [Google Scholar]
- RamaRao, B.-S., LaVenue, A.-M., De Marsily, G. and Marietta, M.-G., (1995) Pilot point methodology for automated calibration of an ensemble of conditionally simulated transmissivity fields: 1. Theory and computational experiments. Water Resour. Res., 31, 475–493. [CrossRef] [Google Scholar]
- Montgomery, D.C. and Peck, E.A. (1991) Introduction to linear regression analysis, second edition, J. Wiley. [Google Scholar]
- Scheidt C., and Zabalza-Mezghani I. (2004) Assessing Uncertainty and Optimizing Production schemes - Experimental Designs for non-linear production response modeling - An application to early water breakthrough prevention, ECMOR IX, Cannes, 30 August-2 September 2004, France. [Google Scholar]
- Scheidt, C. (2006) Analyse Statistique d'expériences simulées : Modélisation adaptative de réponses non-régulières par krigeage et plans d'expériences – Application à la quantification des incertitudes en ingénierie des réservoirs pétroliers, Thesis IFP - Université Louis Pasteur de Strasbourg. [Google Scholar]
- Reis, L.C., Hu, L.Y., de Marsily, G. and Eschard, R. (2000) Production Data Integration Using a Gradual Deformation Approach: Application to an Oil Field (Offshore Brazil), SPE 63064. [Google Scholar]
| Numéro |
Oil & Gas Science and Technology - Rev. IFP
Volume 62, Numéro 2, March-April 2007
Dossier: Quantitative Methods in Reservoir Characterization
|
|
|---|---|---|
| Page(s) | 207 - 224 | |
| DOI | https://doi.org/10.2516/ogst:2007018 | |
| Publié en ligne | 14 juin 2007 | |
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