The project adapts Ensemble Reservoir Tool (ERT) for running history matching workflows. ERT is installed and updated to accommodate new state-of-the-art conditioning algorithms specifically developed in Digires for assimilation of huge datasets. Also, in Digires we aim to resolve issues in current conditioning methods related to the handling of model errors, correlated measurement errors, the proper sampling of the correct posterior pdf, and the development of numerically efficient condition algorithms. The development of efficient ensemble optimization algorithms is also a focus of this WP.
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