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Listar por palabra clave "Inverse modeling"

Mostrando ítems 1-17 de 17

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 Pilot Point Guided Pattern Matching Approach to Integrate Dynamic Data into Geological Modeling

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) ...
Characterization and assessment of composite materials via inverse finite element modeling

Llopis Albert, Carlos; Rubio Montoya, Francisco José; Valero Chuliá, Francisco José (Universitat Politècnica de València, 2019-10-03)

[EN] Characterizing mechanical properties play a major role in several fields such as biomedical and manufacturing sectors. In this study, a stochastic inverse model is combined with a finite element (FE) approach to infer ...
Characterization of non-Gaussian conductivities and porosities with hydraulic heads, solute concentrations, and water temperatures

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 ...
Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter

Chen, Zi; Xu, Teng; Gómez-Hernández, J. Jaime; Zanini, Andrea (Springer-Verlag, 2021-10)

[EN] The joint identification of the parameters defining a contaminant source and the heterogeneous distribution of the hydraulic conductivities of the aquifer where the contamination took place is a difficult task. Previous ...
Ensemble random forest filter: An alternative to the ensemble Kalman filter for inverse modeling

A. Godoy, Vanessa; Napa-García, Gian F.; Gómez-Hernández, J. Jaime (Elsevier, 2022-12)

[EN] The ensemble random forest filter (ERFF) is presented as an alternative to the ensemble Kalman filter (EnKF) for inverse modeling. The EnKF is a data assimilation approach that forecasts and updates parameter estimates ...
Ensemble Smoother with Multiple Data Assimilation as a Tool for Curve Fitting and Parameter Uncertainty Characterization: Example Applications to Fit Nonlinear Sorption Isotherms

Godoy, Vanessa A.; Napa-García, Gian F.; Gómez-Hernández, J. Jaime (Springer-Verlag, 2022-05)

[EN] The ensemble smoother with multiple data assimilation (ES-MDA) coupled to a normal-score transformation is used to fit a Langmuir isotherm curve to estimate its parameters (Sm and b) and their uncertainty. The highlights ...
Ensemble smoother with multiple data assimilation to simultaneously estimate the source location and the release history of a contaminant spill in an aquifer

Todaro, Valeria; D'Oria, Marco; Tanda, Maria Giovanna; Gómez-Hernández, J. Jaime (Elsevier, 2021-07)

[EN] The source location and the time history of a pollutant released in an aquifer are very relevant information for the design of effective remediation strategies. Usually, their identification requires solving an inverse ...
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 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 ...
Inverse sequential simulation: Performance and implementation details

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 ...
Joint identification of contaminant source and aquifer geometry in a sandbox experiment with the restart ensemble Kalman filter

Chen, Zi; Gómez-Hernández, J. Jaime; Xu, Teng; Zanini, Andrea (Elsevier, 2018-09)

[EN] Contaminant source identification is a key problem in handling groundwater pollution events. The ensemble Kalman filter (EnKF) is used for the spatiotemporal identification of a point contaminant source in a sandbox ...
Modelación numérica de un experimento de transporte de masa en un tanque de arena de laboratorio

Uribe Asarta, Janire (Universitat Politècnica de València, 2019-07-31)

[ES] El Departamento de Ingeniería Civil, Ambiental, Territorial y Arquitectura (DICAteA) de la Universidad de Parma, Italia, llevó a cabo un experimento de transporte de masa empleando un tanque de plexiglás de medidas ...
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 ...
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 ...
Stochastic inverse finite element modeling for characterization of heterogeneous material properties

Llopis-Albert, Carlos; Rubio Montoya, Francisco José; Valero Chuliá, Francisco José; Liao, Hunchang; Zeng, Shouzhen (IOP Publishing, 2019-11)

[EN] The micro and meso-structural characteristics of materials present an inherent variability because of the intrinsic scatter in raw material and manufacturing processes. This problem is exacerbated in highly heterogeneous ...
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 ...