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Browsing by Author "Li, Liangping"

Now showing items 1-16 of 16

A Comparative Study of Three-Dimensional Hydraulic Conductivity Upscaling at the MAcro-Dispersion Experiment (MADE) site, Columbus Air Force Base, Mississippi (USA)

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 ...
A local global pattern matching method for subsurface stochastic inverse modeling

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 ...
A pattern-search-based inverse method

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 ...
An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering

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 ...
Characterizing curvilinear features using the localized normal-score ensemble Kalman filter

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 ...
Groundwater flow inverse modeling in non-MultiGaussian media: Performance assessment of the normal-score Ensemble Kalman Filter

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 ...
Inverse Methods in Hydrogeology: Evolution and Recent Trends

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 ...
Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter

Li, Liangping; Zhou, Haiyan; Gómez-Hernández, J. Jaime; Hendricks-Franssen, Hendrikus Johannes (Elsevier, 2012-03-27)

[EN] Real-time data from on-line sensors offer the possibility to update environmental simulation models in real-time. Information from on-line sensors concerning contaminant concentrations in groundwater allow for the ...
Modeling transient groundwater flow by coupling ensemble Kalman filtering and upscaling

Li ., Liangping; Zhou ., Haiyan; Franssen, HJH; Gómez-Hernández, J. Jaime (American Geophysical Union (AGU), 2012-01)

The ensemble Kalman filter (EnKF) is coupled with upscaling to build an aquifer model at a coarser scale than the scale at which the conditioning data (conductivity and piezometric head) had been taken for the purpose of ...
Paralellized ensemble Kalman filter for hydraulic conductivity characterization

Xu, Teng; Gómez-Hernández, J. Jaime; Li ., Liangping; Zhou ., Haiyan (Elsevier, 2013-03)

[EN] The ensemble Kalman filter (EnKF) is nowadays recognized as an excellent inverse method for hydraulic conductivity characterization using transient piezometric head data. Its implementation is well suited for a parallel ...
Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter

Zhou, Haiyan; Li, Liangping; Hendricks Franssen, Harrie-Jan; Gómez-Hernández, J. Jaime (Springer Verlag (Germany), 2012-02)

The ensemble Kalman filter (EnKF) is now widely used in diverse disciplines to estimate model parameters and update model states by integrating observed data. The EnKF is known to perform optimally only for multi-Gaussian ...
The Power of Transient Piezometric Head Data in Inverse Modeling: An Application of the Localized Normal-score EnKF with Covariance Inflation in a Heterogenous Bimodal Hydraulic Conductivity Field

Xu, Teng; Gómez-Hernández, J. Jaime; Zhou, Haiyan; Li, Liangping (Elsevier, 2013-04)

The localized normal-score ensemble Kalman filter (NS-EnKF) coupled with covariance inflation is used to characterize the spatial variability of a channelized bimodal hydraulic conductivity field, for which the only existing ...
Three-Dimensional Steady-state Groundwater Flow Modeling with Full Tensor Conductivities Using Finite Difference

Li ., Liangping (Universitat Politècnica de València, 2012-01-25)

A new three-dimensional steady-state groundwater-flow forward-simulator with full conductivity tensors using a nineteen-points block-centered finite-difference method is presented. Hydraulic conductivity tensors are defined ...
Transport Upscaling Using Multi-Rate Mass Transfer in Three-Dimensional Highly Heterogeneous Porous Media

Li ., Liangping; Zhou ., Haiyan; Gómez-Hernández, J. Jaime (Elsevier Ltd, 2011)

[EN] A methodology for transport upscaling of three-dimensional highly heterogeneous formations is developed and demonstrated. The overall approach requires a prior hydraulic conductivity upscaling using an interblock-centered ...
Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods

Li, Liangping; Srinivasan, Sanjay; Zhou, Haiyan; Gomez-Hernandez, J. Jaime (Elsevier, 2015-12)

The Ensemble Kalman Filter (EnKF) has been commonly used to assimilate real time dynamic data into geologic models over the past decade. Despite its various advantages such as computational efficiency and its capability ...
Upscaling and Inverse Modeling of Groundwater Flow and Mass Transport in Heterogeneous Aquifers

Li ., Liangping (Universitat Politècnica de València, 2011-10-21)

Dividimos el trabajo en tres bloques: En el primer bloque, se han revisado las técnicas de escalado que utilizan una media simple, el método laplaciano simple, el laplaciano con piel y el escalado con mallado no uniforme ...