Dimensionality Reduction Methods Used in History Matching
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28079-5_4
Reference50 articles.
1. Kazemi A, Stephen KD (2013) Mise à jour optimale des paramètres dans un processus de calage d’historique en s’aidant des lignes de courants. Oil Gas Sci Technol 68(3):577–594. https://doi.org/10.2516/ogst/2012071
2. De Marsily G, Lavedan G, Boucher M, Fasamino G (1984) Interpretation of interference tests in a well field using geostatistical techniques to fit the permeability distribution in a reservoir model. Geostatistics for natural resources characterization. NATO Adv Study Inst 831–849
3. LaVenue AM, Pickens JF (1992) Application of a coupled adjoint sensitivity and kriging approach to calibrate a groundwater flow model. Water Resour Res 28(6):1543–1569. https://doi.org/10.1029/92WR00208
4. RamaRao BS, LaVenue AM, De Marsily G, Marietta MG (1995) Pilot point methodology for automated calibration of an ensemble of conditionally simulated transmissivity fields: 1. Theory and computational experiments. Water Resour Res 31(3):475–493. https://doi.org/10.1029/94WR02258
5. Certes C, de Marsily G (1991) Application of the pilot point method to the identification of aquifer transmissivities. Adv Water Resour 14(5):284–300. https://doi.org/10.1016/0309-1708(91)90040-U
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