Adaptive design of experiments for calibration of complex simulators – An application to uncertainty quantification of a mature oil field
Author:
Publisher
IOP Publishing
Subject
General Physics and Astronomy
Reference13 articles.
1. Bayesian calibration of computer models
2. Hierarchical Nonlinear Approximation for Experimental Design and Statistical Data Fitting
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. UNCERTAINTY QUANTIFICATION FOR MOLECULAR DYNAMICS;Reviews in Computational Chemistry;2018-10-19
2. An Optimization Strategy Based on the Maximization of Matching-Targets’ Probability for Unevaluated Results;Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles;2013-05
3. Prediction under Uncertainty on a Mature Field;Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles;2012-03
4. Population MCMC methods for history matching and uncertainty quantification;Computational Geosciences;2011-05-10
5. Using Experimental Designs, Assisted History-Matching Tools, and Bayesian Framework To Get Probabilistic Gas-Storage Pressure Forecasts;SPE Reservoir Evaluation & Engineering;2009-09-02
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