Uncertainty Quantification in Reservoir Simulation Using Modern Data Assimilation Algorithm

نویسندگان

چکیده

Production forecasting using numerical simulation has become a standard in the oil and gas industry. The model construction process requires an explicit definition of multiple uncertain parameters; thus, outcome modelling is also uncertain. For reservoirs with production data, uncertainty can be reduced by history-matching. However, manual matching procedure time-consuming usually generates one deterministic realization. Due to ill-posed nature calibration process, cannot captured sufficiently only model. In this paper, quantification carried out for gas-condensate reservoir described. ensemble-based approach was used ES-MDA algorithm, conditioning models observed data. Along results, author described solutions proposed improve algorithm’s efficiency analyze factors controlling uncertainty. As part various geological hypotheses regarding presence active aquifer were verified, leading important observations about drive mechanism analyzed reservoir.

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ژورنال

عنوان ژورنال: Energies

سال: 2023

ISSN: ['1996-1073']

DOI: https://doi.org/10.3390/en16031153