Integrated Data Assimilation and Distance-Based Model Selection with Ensemble Kalman Filter for Characterization of Uncertain Geological Scenarios
This paper develops a reliable workflow for multi-objective history matching coupled with a distance-based model selection and ensemble-based data assimilation at a clastic channel reservoir with uncertain geological scenarios. The distance map allocated to each producer determines the probabilities...
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Veröffentlicht in: | Natural resources research (New York, N.Y.) N.Y.), 2020-04, Vol.29 (2), p.1063-1085 |
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