Information content in Lagrangian sensor measurements for reservoir characterization
Author:
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Information Systems
Reference26 articles.
1. Ensemble Kalman filter in reservoir engineering—a review;Aanonsen;SPE Journal,2009
2. A Bayesian approach to Lagrangian data assimilation;Apte;Tellus A,2008
3. Think big, get small;Chapman;Hart's E&P,2010
4. Ensemble randomized maximum likelihood method as an iterative ensemble smoother;Chen;Mathematical Geosciences,2012
5. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics;Evensen;Journal of Geophysical Research,1994
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