Cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flows

The theoretical relationships between simple and cross-covariances of the transmissivity and the hydraulic head, deduced from the linearisation of the flow equation are used for cokriging transmissivity field with data from one then two quasi steady-state flows. First a non-exhaustive historical rev...

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Main Authors: de Fouquet, Chantal, Nos, Jérémy
Format: Article
Language:English
Published: Académie des sciences 2023-12-01
Series:Comptes Rendus. Géoscience
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Online Access:https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.247/
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author de Fouquet, Chantal
Nos, Jérémy
author_facet de Fouquet, Chantal
Nos, Jérémy
author_sort de Fouquet, Chantal
collection DOAJ
description The theoretical relationships between simple and cross-covariances of the transmissivity and the hydraulic head, deduced from the linearisation of the flow equation are used for cokriging transmissivity field with data from one then two quasi steady-state flows. First a non-exhaustive historical review of geostatistical modelling based on flow equations in a simplified case is given. Then original results show that the estimation of the logtransmissivity by cokriging with head data from two flows is improved compared with the case of head data from a single flow. The estimation in the presence of a transmissivity barrier is thoroughly investigated. Practical conclusions are drawn and perspectives based on the recent numerical variogram are proposed.
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institution Kabale University
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publisher Académie des sciences
record_format Article
series Comptes Rendus. Géoscience
spelling doaj-art-e04bb117c15241cd91f01a53089b1f032025-02-07T10:40:14ZengAcadémie des sciencesComptes Rendus. Géoscience1778-70252023-12-01355S160561510.5802/crgeos.24710.5802/crgeos.247Cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flowsde Fouquet, Chantal0https://orcid.org/0000-0002-0008-4801Nos, Jérémy1https://orcid.org/0000-0002-9315-7554Mines Paris, PSL, Centre de géosciences, 77300 Fontainebleau, FranceMines Paris, PSL, FranceThe theoretical relationships between simple and cross-covariances of the transmissivity and the hydraulic head, deduced from the linearisation of the flow equation are used for cokriging transmissivity field with data from one then two quasi steady-state flows. First a non-exhaustive historical review of geostatistical modelling based on flow equations in a simplified case is given. Then original results show that the estimation of the logtransmissivity by cokriging with head data from two flows is improved compared with the case of head data from a single flow. The estimation in the presence of a transmissivity barrier is thoroughly investigated. Practical conclusions are drawn and perspectives based on the recent numerical variogram are proposed.https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.247/Inverse problemFlow equationSteady stateCokrigingGeostatistics
spellingShingle de Fouquet, Chantal
Nos, Jérémy
Cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flows
Comptes Rendus. Géoscience
Inverse problem
Flow equation
Steady state
Cokriging
Geostatistics
title Cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flows
title_full Cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flows
title_fullStr Cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flows
title_full_unstemmed Cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flows
title_short Cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flows
title_sort cokriging of transmissivity from head measurements revisited in the case of two quasi steady state flows
topic Inverse problem
Flow equation
Steady state
Cokriging
Geostatistics
url https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.247/
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