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physics.data-an2019
Revising the stochastic iterative ensemble smoother
Patrick N. Raanes, Geir Evensen, Andreas S. Stordal
Ensemble randomized maximum likelihood (EnRML) is an iterative (stochastic) ensemble smoother, used for large and nonlinear inverse problems, such as history matching and data assi…
physics.data-an2018
Accounting for model errors in iterative ensemble smoothers
Geir Evensen
In the strong-constraint formulation of the history-matching problem, we assume that all the model errors relate to a selection of uncertain model input parameters. One does not ac…