Data assimilation in truncated plurigaussian models: impact of the truncation map
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Publication:1629751
DOI10.1007/s11004-018-9753-yzbMath1404.86032OpenAlexW2807955091MaRDI QIDQ1629751
Publication date: 12 December 2018
Published in: Mathematical Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11004-018-9753-y
inverse problemdata assimilationensemble Kalman filtercategorical variablestruncated plurigaussian model
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Cites Work
- Minimization for conditional simulation: relationship to optimal transport
- Cross-covariances and localization for EnKF in multiphase flow data assimilation
- Conditioning truncated pluri-Gaussian models to facies observations in ensemble-Kalman-based data assimilation
- Application of the EnKF and localization to automatic history matching of facies distribution and production data
- A probabilistic parametrization for geological uncertainty estimation using the ensemble Kalman filter (EnKF)
- Levenberg-Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification
- Investigation of the sampling performance of ensemble-based methods with a simple reservoir model
- On the existence of paths between points in high level excursion sets of Gaussian random fields
- Metropolized Randomized Maximum Likelihood for Improved Sampling from Multimodal Distributions
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