Identification of aquifer heterogeneity through inverse methods
The paper underlines the contributions of Ghislain de Marsily (GdM) to the identification of aquifers heterogeneity using inverse methods mainly for modeling subsurface flow. Inverse methods require an objective function to express the goodness of fit of the chosen model, a parameterization to descr...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Académie des sciences
2022-10-01
|
| Series: | Comptes Rendus. Géoscience |
| Subjects: | |
| Online Access: | https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.162/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825206327195992064 |
|---|---|
| author | Ackerer, Philippe Carrera, Jesus Delay, Frédérick |
| author_facet | Ackerer, Philippe Carrera, Jesus Delay, Frédérick |
| author_sort | Ackerer, Philippe |
| collection | DOAJ |
| description | The paper underlines the contributions of Ghislain de Marsily (GdM) to the identification of aquifers heterogeneity using inverse methods mainly for modeling subsurface flow. Inverse methods require an objective function to express the goodness of fit of the chosen model, a parameterization to describe the spatial distribution of model parameters, and a minimization algorithm. The resulting inverse problem, which consists in seeking model parameters’ values that render model outputs close to the observations, is usually unstable. GdM developed seminal ideas for the two key inversion issues that are: to stabilize the inverse problem through regularization, and to parameterize it to reproduce the natural heterogeneity of the subsurface with a limited number of parameters. GdM conducted pioneering works that are the basis of current parameterization methods relying upon adaptive zonation and/or interpolation based on pilot points. We take here the opportunity to highlight the GdM’s contributions inspiring currently used techniques. |
| format | Article |
| id | doaj-art-b8cc45f687974daea741798de3e67b9a |
| institution | Kabale University |
| issn | 1778-7025 |
| language | English |
| publishDate | 2022-10-01 |
| publisher | Académie des sciences |
| record_format | Article |
| series | Comptes Rendus. Géoscience |
| spelling | doaj-art-b8cc45f687974daea741798de3e67b9a2025-02-07T10:40:14ZengAcadémie des sciencesComptes Rendus. Géoscience1778-70252022-10-01355S1455810.5802/crgeos.16210.5802/crgeos.162Identification of aquifer heterogeneity through inverse methodsAckerer, Philippe0https://orcid.org/0000-0002-9111-6118Carrera, Jesus1https://orcid.org/0000-0002-8054-4352Delay, Frédérick2https://orcid.org/0000-0003-1321-2304Institut Terre et Environnement de Strasbourg, Université de Strasbourg, CNRS, ENGEES, UMR 7063, Strasbourg, FranceInstitute of Environmental Assessment and Water Research (IDAEA), CSIC, SpainInstitut Terre et Environnement de Strasbourg, Université de Strasbourg, CNRS, ENGEES, UMR 7063, Strasbourg, FranceThe paper underlines the contributions of Ghislain de Marsily (GdM) to the identification of aquifers heterogeneity using inverse methods mainly for modeling subsurface flow. Inverse methods require an objective function to express the goodness of fit of the chosen model, a parameterization to describe the spatial distribution of model parameters, and a minimization algorithm. The resulting inverse problem, which consists in seeking model parameters’ values that render model outputs close to the observations, is usually unstable. GdM developed seminal ideas for the two key inversion issues that are: to stabilize the inverse problem through regularization, and to parameterize it to reproduce the natural heterogeneity of the subsurface with a limited number of parameters. GdM conducted pioneering works that are the basis of current parameterization methods relying upon adaptive zonation and/or interpolation based on pilot points. We take here the opportunity to highlight the GdM’s contributions inspiring currently used techniques.https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.162/GroundwaterInverse methodsModellingParameter identificationParameterization |
| spellingShingle | Ackerer, Philippe Carrera, Jesus Delay, Frédérick Identification of aquifer heterogeneity through inverse methods Comptes Rendus. Géoscience Groundwater Inverse methods Modelling Parameter identification Parameterization |
| title | Identification of aquifer heterogeneity through inverse methods |
| title_full | Identification of aquifer heterogeneity through inverse methods |
| title_fullStr | Identification of aquifer heterogeneity through inverse methods |
| title_full_unstemmed | Identification of aquifer heterogeneity through inverse methods |
| title_short | Identification of aquifer heterogeneity through inverse methods |
| title_sort | identification of aquifer heterogeneity through inverse methods |
| topic | Groundwater Inverse methods Modelling Parameter identification Parameterization |
| url | https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.162/ |
| work_keys_str_mv | AT ackererphilippe identificationofaquiferheterogeneitythroughinversemethods AT carrerajesus identificationofaquiferheterogeneitythroughinversemethods AT delayfrederick identificationofaquiferheterogeneitythroughinversemethods |