Quantifying Monte Carlo uncertainty in ensemble Kaiman filter
Abstract
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.