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Computers & Geosciences, Volume 55
Volume 55, June 2013
- Yan Chen:
Ensemble Kalman filter for data assimilation. 1-2 - Alexandre Anozé Emerick, Albert C. Reynolds:
Ensemble smoother with multiple data assimilation. 3-15 - Peter Jan van Leeuwen, Melanie Ades:
Efficient fully nonlinear data assimilation for geophysical fluid dynamics. 16-27 - Chinedu C. Agbalaka, Dave Stern, Dean S. Oliver:
Two-stage ensemble-based history matching with multiple modes in the objective function. 28-43 - Inge Myrseth, Jon Sætrom, Henning Omre:
Resampling the ensemble Kalman filter. 44-53 - Jincong He, Pallav Sarma, Louis J. Durlofsky:
Reduced-order flow modeling and geological parameterization for ensemble-based data assimilation. 54-69 - Oliver Pajonk, Bojana V. Rosic, Hermann G. Matthies:
Sampling-free linear Bayesian updating of model state and parameters using a square root approach. 70-83 - Leila Heidari, Véronique Gervais, Mickaële Le Ravalec, Hans Wackernagel:
History matching of petroleum reservoir models by the Ensemble Kalman Filter and parameterization methods. 84-95 - Yan Chen, Dean S. Oliver:
Information content in Lagrangian sensor measurements for reservoir characterization. 96-109 - Lars Nerger, Wolfgang Hiller:
Software for ensemble-based data assimilation systems - Implementation strategies and scalability. 110-118
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