Li ., Liangping; Zhou ., Haiyan; Gómez-Hernández, J. Jaime(Elsevier, 2011-07-11)
Simple averaging, simple-Laplacian, Laplacian-with-skin, and non-uniform coarsening are the techniques investigated in this comparative study of three-dimensional hydraulic conductivity upscaling. The reference is a fine ...
Li ., Liangping; Srinivasan, Sanjay; Zhou, Haiyan; Gómez Hernández, José Jaime(Elsevier, 2015-05-15)
Inverse modeling is an essential step for reliable modeling of subsurface flow and transport, which is important for groundwater resource management and aquifer remediation. Multiple-point statistics (MPS) based reservoir ...
Fu, Jianlin(Universitat Politècnica de València, 2008-05-07)
Unlike the traditional two-stage methods, a conditional and inverse-conditional simulation approach may directly generate independent, identically distributed realizations to honor both static data and state data in one ...
Zhou ., Haiyan; Gómez-Hernández, J. Jaime; Li ., Liangping(American Geophysical Union (AGU), 2012)
Uncertainty in model predictions is caused to a large extent by the uncertainty in model parameters, while the identification of model parameters is demanding because of the inherent heterogeneity of the aquifer. A variety ...
Li, Liangping; Srinivasan, Sanjay; Zhou, Haiyan; Gómez-Hernández, J. Jaime(Elsevier, 2013-12)
Methods based on multiple-point statistics (MPS) have been routinely used to characterize complex geological formations in the last decade. These methods use the available static data (for example, measured conductivities) ...
Zhou ., Haiyan; Gómez-Hernández, J. Jaime; Hendricks Franssen, Hendrikus Johannes W; Li, Liangping(ELSEVIER SCI LTD, 2011)
[EN] The ensemble Kalman filter (EnKF) is a commonly used real-time data assimilation algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to condition log-conductivity realizations ...
Xu, Teng; Gómez-Hernández, J. Jaime(John Wiley & Sons, 2016)
Reliable characterization of hydraulic parameters is important for the understanding of groundwater flow and solute transport. The normal-score ensemble Kalman filter (NS-EnKF) has proven to be an effective inverse method ...
Zhou ., Haiyan; Li ., Liangping; Gómez-Hernández, J. Jaime(Hindawi Publishing Corporation, 2012)
The localized normal-score ensemble Kalman filter is shown to work for the characterization of non-multi-Gaussian distributed hydraulic conductivities by assimilating state observation data. The influence of type of flow ...
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 ...
Gutiérrez Esparza, Julio César(Universitat Politècnica de València, 2013-06-26)
[ES] Este trabajo se ha centrado en el área que es inmediata a la Fabrica de Uranio de Andújar (FUA), mas
concretamente en el acuífero que ahí se localiza, en el cual, tras la clausura de la fábrica se observó la
presencia ...
Gutiérrez Esparza, Julio César(Universitat Politècnica de València, 2012-11-23)
[ES] Este trabajo se ha centrado en el área que es inmediata a la Fabrica de Uranio de Andújar (FUA), mas
concretamente en el acuífero que ahí se localiza, en el cual, tras la clausura de la fábrica se observó la
presencia ...
Benamghar, Achéne; Gómez-Hernández, J. Jaime(Springer Verlag (Germany), 2014-04)
Characterizing the spatial patterns of variability is a fundamental aspect when investigating what could be the causes behind the spatial spreading of a set of variables. In this paper, a large multivariate dataset from ...
Li, Liangping; Zhou, Haiyan; Hendricks-Franssen, Hendrikus Johannes; Gómez-Hernández, J. Jaime(European Geosciences Union (EGU), 2012)
[EN] The normal-score ensemble Kalman filter (NS-EnKF) is tested on a synthetic aquifer characterized by the presence of channels with a bimodal distribution of its hydraulic conductivities. This is a clear example of an ...
Gómez Hernández, José Jaime; Rodrigo Ilarri, Javier(Editorial Universitat Politècnica de València, 2014-09-01)
La primera edición del Congreso Ibérico de las Aguas Subterráneas (CIAS) tuvo lugar en Zaragoza en septiembre de 2011. La segunda edición del CIAS tiene lugar en la Ciudad Politécnica de la Innovación, sede del parque ...
Cassiraga ., Eduardo Fabián(Universitat Politècnica de València, 2009-04-29)
Esta tesis con un importante aspecto relacionado con la construcción de modelos numéricos para la simulación de flujo de agua subterránea y el transporte de masa en acuíferos heterogéneos: la integración de toda la información ...
Zhou, Haiyan; Gómez-Hernández, J. Jaime; Li, Liangping(Elsevier, 2014-01)
[EN] Parameter identification is an essential step in constructing a groundwater model. The process of recognizing model parameter values by conditioning on observed data of the state variable is referred to as the inverse ...
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 ...
Xu, Teng; Gómez-Hernández, J. Jaime(Elsevier, 2015-12)
For good groundwater flow and solute transport numerical modeling, it is important to characterize the formation
properties. In this paper, we analyze the performance and important implementation details of a
new approach ...