Characterization of groundwater flow in porous media using Self-Potential method

In hydrogeology, the information related to the piezometric surface and hydraulic properties is usually obtained from in situ measurements in a set of piezometers. However, this approach is intrusive and depends on the number of available piezometers. This explains why, in the last decade, research scientists looked for a new geophysical method able to determine the piezometric head variations and the groundwater flow parameters in a non-intrusive way. The self-potential method offers such possibility. Indeed, the flow of groundwater is responsible for a measurable electrical field owing to the electrokinetic coupling between the water flux and the electrical current density. This electrokinetic coupling is one of the sources for the so-called self-potential signals measured passively at the ground surface with non-polarisable electrodes. Field and laboratory experiments were undertaken in order to measure the electric signals of a groundwater flow during pumping and infiltration tests. The field and laboratory results prove the capacity of the self-potential method to follow the groundwater flow in real time. They indicate that the self-potential variations are linearly related, at the first order, to the piezometric head variations. These experiences show the usefulness of the self-potential method to monitor the groundwater flow and to estimate the groundwater flow parameters.

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Source https://theses.hal.science/tel-00012187
Author Suski, Barbara
Maintainer CCSD
Last Updated May 28, 2026, 14:57 (UTC)
Created May 28, 2026, 14:57 (UTC)
Identifier tel-00012187
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Centre Européen de Recherche et d'Enseignement des Géosciences de l'Environnement (CEREGE) ; Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
creator Suski, Barbara
date 2005-11-24T00:00:00
harvest_object_id e156277e-c7e3-4762-83ce-cc57e33db993
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-11-12T00:00:00
set_spec type:THESE