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ES-MDA Applied to Estimate Skin Zone Properties from Injectivity Tests Data in Multilayer Reservoirs

Computational Geosciences(2021)

Cited 9|Views3
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Abstract
Estimating reservoir properties, such as the skin factor, is an essential role of injectivity tests. Nevertheless, determining individual layer properties in multilayer systems remains a difficult task. Some techniques have been proposed to compute layer permeabilities and skin factors based on the pressure response of reservoirs under single-phase flow. Regardless, determining layer skin zone permeability and radius remains challenging. Ensemble-based techniques are optimization methods known for its easy implementation and good data match when estimating model parameters. Notably, the ensemble smoother with multiple data assimilation (ES-MDA) has proven to be a powerful parameter estimation tool. Thereby, this work attempts to apply the ES-MDA to determine individual layer skin zone properties. To the best of the authors’ knowledge, this is the first time that ES-MDA is applied to this problem. In all tested cases, the resulting histogram contains the reference parameters. We also presented a sensitivity study regarding the performance of ES-MDA when different number of assimilations and ensemble sizes are used.
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Key words
Injectivity Tests,Parameter estimation,History matching,Stratified reservoirs,Ensemble smoother with multiple data assimilation
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