| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6917932 | Computer Methods in Applied Mechanics and Engineering | 2013 | 14 Pages |
Abstract
⺠A practical nonlinear parameter estimation algorithm is proposed. ⺠Gradients are approximated using an ensemble of directional derivatives within a Gauss-Newton iteration. ⺠The ensemble output covariance matrix is regularized using the iterative â2 Boosting method. ⺠The number of regularization iterations is selected based on Akaike information criterion (AIC). ⺠The proposed algorithm is successfully applied to the parameter estimation of several subsurface flow models.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ahmed H. Elsheikh, Reza Tavakoli, Mary F. Wheeler, Ibrahim Hoteit,