Rapid Learning-Based and Geologically Consistent History Matching
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Chemical Engineering,Catalysis
Link
http://link.springer.com/article/10.1007/s11242-018-1005-6/fulltext.html
Reference69 articles.
1. Anterion, F., Eymard, R., Karcher, B.: Use of parameter gradients for reservoir history matching. In: SPE Symposium on Reservoir Simulation. Society of Petroleum Engineers (1989)
2. Bianco, A., Cominelli, A., Dovera, L., Naevdal, G., Valles, B.: History matching and production forecast uncertainty by means of the ensemble Kalman filter: a real field application. In: EUROPEC/EAGE Conference and Exhibition. Society of Petroleum Engineers (2007)
3. Caers, J.: Efficient gradual deformation using a streamline-based proxy method. J. Pet. Sci. Eng. 39, 57–83 (2003). https://doi.org/10.1016/S0920-4105(03)00040-8
4. Chavent, G., Dupuy, M., Lemmonier, P.: History matching by use of optimal theory. Soc. Pet. Eng. J. 15, 74–86 (1975). https://doi.org/10.2118/4627-PA
5. Chen, W.H., Gavalas, G.R., Seinfeld, J.H., Wasserman, M.L.: A new algorithm for automatic history matching. Soc. Pet. Eng. J. 14, 593–608 (1974). https://doi.org/10.2118/4545-PA
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