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Ensemble Kalman filtering for hydraulic conductivity characterization: Parallelization and non-Gaussianity

Xu, Teng (Universitat Politècnica de València, 2014-11-03)

The ensemble Kalman filter (EnKF) is nowadays recognized as an excellent inverse method for hydraulic conductivity characterization using transient piezometric head data. and it is proved that the EnKF is computationally ...
Inverse sequential simulation: A new approach for the characterization of hydraulic conductivities demonstrated on a non-Gaussian field

Xu, Teng; Gómez Hernández, J. Jaime (American Geophysical Union (AGU), 2015)

Inverse sequential simulation (iSS) is a new inverse modeling approach for the characterization of hydraulic conductivity fields based on sequential simulation. It is described and demonstrated in a synthetic aquifer ...
Probability fields revisited in the context of ensemble Kalman filtering

Xu, Teng; Gómez-Hernández, J. Jaime (Elsevier, 2015-12)

Hu et al. (2013) proposed an approach to update complex geological fades models generated by multiple-point geostatistical simulation while keeping geological and statistical consistency. Their approach is based on mapping ...

Mostrando ítems 1-3 de 3