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This paper discusses uncertainty quantification in reservoir simulation using the ES-MDA algorithm for a gas-condensate reservoir. It highlights the challenges of manual history-matching and proposes an ensemble-based approach to improve efficiency and capture uncertainty more effectively. The study also emphasizes the importance of initial ensemble sampling and the analysis of history-matching outcomes to enhance model calibration and uncertainty assessment.
- Author
- habib.kpour
- Language
- EN