Multi-fidelity meta-modeling for reservoir engineering - application to history matching
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Publication:1693744
DOI10.1007/s10596-016-9587-yzbMath1387.86023OpenAlexW2525726993MaRDI QIDQ1693744
Véronique Gervais, Arthur Thenon, Mickaele Le Ravalec
Publication date: 31 January 2018
Published in: Computational Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10596-016-9587-y
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Cites Work
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- Model reduction by CPOD and Kriging: application to the shape optimization of an intake port
- Spatial variation. 2nd ed
- Efficient global optimization of expensive black-box functions
- The design and analysis of computer experiments.
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- A taxonomy of global optimization methods based on response surfaces
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Stochastic Kriging for Simulation Metamodeling
- Maximum likelihood estimation of models for residual covariance in spatial regression
- Multi-fidelity optimization via surrogate modelling
- Predicting the output from a complex computer code when fast approximations are available
- Bayesian Analysis of Hierarchical Multifidelity Codes
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