D Jougnot
Has grant
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
Recent Grants
Grant: Close
European training Network for In situ imaGing of dynaMic processes in heterogeneous subsurfAce environments
Open Date: 2017-01-01
Close Date: 2020-12-31
Articles (11)
Year:
2023
Year:
2023
SUMMARY Dissolution and precipitation processes modify the structure of the porous media at microscale which significantly affects the macroscopic properties of the media. These variations in the pore geometry result in changes in the hydraulic properties that control the groundwater flow, and also modify the electrokinetic properties associated to the displacement of electrical charges carried by the flow which originates the streaming potential. Under the hypothesis of a uniform dissolution or precipitation of the pores and based on the effective excess charge density approach, we present a physically based theoretical model for estimating the effective excess charge density as a function of time. The model is based on the assumption that the pore structure can be represented by an ensemble of capillary tubes with a smooth periodic variation of their radius and a fractal pore size distribution. The analytical expressions obtained to describe the effective excess charge density depend on the chemical parameters of the fluid and the petrophysical properties of the medium. In addition, the periodic variations assumed in the pore geometry represent a more realistic description of a porous medium than considering the pores as constant radii capillaries. These irregularities allow us to include the hysteresis phenomenon in the electrokinetic properties. The expressions of the proposed model have been tested with experimental data consisting of sets of effective excess charge density-effective saturation, permeability-effective saturation, porosity-time and permeability-time values. In all cases, the model is able to satisfactorily reproduce the behaviour of the data.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Collaborators (8)
Alexis Maineult
Sorbonne Université
Niklas Linde
Professor of Environmental Geophysics
University of Lausanne
Philip Brunner
Professor
University of Neuchatel
Thomas Hermans
Associate Professor
Ghent University
Jan H. Fleckenstein
Professor for Hydrololgic Modelling
University of Bayreuth
Frederic Nguyen
Part-time Professor
KU Leuven
Olivier Bour
Université de Rennes 1
Majken Looms
Københavns Universitet
Make your next move.
Prepare your application
Review drafts before you send them.