Abstract
The EnKF has been extensively used for real-time data assimilation in areas such as reservoir/groundwater modeling. One of the big challenges of the EnKF is how to handle the non-Gaussianity of aquifer properties, particularly for channelized aquifers where preferred flow conduits are encountered. EnPAT is a pattern-based inverse method and was developed to deal with the non-Gaussianity of model updating. In this work, we compared the EnKF and EnPAT on a benchmark example. The results show that EnPAT can better reproduce the curvilinear geological features and thus has a better transport prediction.
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Bibliography
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Li, L., Zhou, H., Gómez-Hernández, J.J., Srinivasan, S. (2017). A Comparison of EnKF and EnPAT Inverse Methods: Non-Gaussianity. In: Gómez-Hernández, J., Rodrigo-Ilarri, J., Rodrigo-Clavero, M., Cassiraga, E., Vargas-Guzmán, J. (eds) Geostatistics Valencia 2016. Quantitative Geology and Geostatistics, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-46819-8_57
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DOI: https://doi.org/10.1007/978-3-319-46819-8_57
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