Quantifying Monte Carlo uncertainty in ensemble Kaiman filter
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http://hdl.handle.net/11250/2632833Utgivelsesdato
2009Metadata
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The ensemble Kaiman filter (EnKF) is currently considered one of the most promising methods for conditioning reservoir simulation models to production data. The EnKF is a sequential Monte Carlo method based on a low rank approximation of the system covariance matrix.