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An iterative ensemble Kalman filter for reservoir engineering applications

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Publication:732214
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DOI10.1007/s10596-008-9087-9zbMath1171.86306OpenAlexW2066890154MaRDI QIDQ732214

M. V. Krymskaya, Remus G. Hanea, Martin Verlaan

Publication date: 9 October 2009

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-008-9087-9

zbMATH Keywords

permeabilityhistory matchingreservoir engineeringensemble Kalman fitleriterative ensemble Kalman filter


Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Computational methods for problems pertaining to geophysics (86-08)


Related Items

Non-parametric Bayesian networks for parameter estimation in reservoir simulation: a graphical take on the ensemble Kalman filter. I, An iterative stochastic ensemble method for parameter estimation of subsurface flow models, Recent progress on reservoir history matching: a review, Investigation of the sampling performance of ensemble-based methods with a simple reservoir model, Special issue: Complexity in the oil industry. Selected papers presented at the conference, Natal, Brazil, August 5--9, 2007.


Uses Software

  • EnKF


Cites Work

  • Stochastic processes and filtering theory
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