D Jougnot

Has grant

Sorbonne Université
Country flagFrance

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

FRANCE
View details

Niklas Linde

Professor of Environmental Geophysics

University of Lausanne

SWITZERLAND
View details

Philip Brunner

Professor

University of Neuchatel

SWITZERLAND
View details

Thomas Hermans

Associate Professor

Ghent University

BELGIUM
View details

Jan H. Fleckenstein

Professor for Hydrololgic Modelling

University of Bayreuth

GERMANY
View details

Frederic Nguyen

Part-time Professor

KU Leuven

BELGIUM
View details

Olivier Bour

Université de Rennes 1

FRANCE
View details

Majken Looms

Københavns Universitet

DENMARK
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.