Research Fellow: Alejandro Fernandez
Host Institution : University of Lausanne
The first objective of this project is to establish direct links between spreading and mixing mechanisms at the pore-scale, and bulk physical properties in porous media, with primary focus on electrical conductivity. The second objective is to subsequently upscale the results to the resolution of geophysical tomograms in order to infer statistics about mixing-related quantities from geophysical tomograms.
More details about ESR9-project:
- Project description
- Tasks and methodology
- Dissemination and communication
- Database for the future datasets
- University of Rennes 1: October-November 2018 & October-November 2019
- CSIC:mid-February to March-April 2019 & March-April 2020
Project Description :
Field-scale tracer tests monitored with geophysics (e.g., Singha and Gorelick, 2005) have shown that the solute mass inferred from time-lapse Electrical Resistivity Tomography (ERT) data is systematically underestimated compared to injected tracer mass. A recent laboratory study (Jougnot et al., 2019) suggests that pore-scale heterogeneities in solute tracer distributions, caused by spreading and mixing, lead to strong variations in effective bulk electrical conductivity. Such heterogeneities of the saline tracer distribution are currently neither accounted for in the inversion of field data nor in the interpretation of inversion results that provide smeared-out representations of electrical conductivity variations. Relatively new stochastic models describing spreading and mixing (Le Borgne et al., 2015) have proven consistent with hydrogeological observations, providing a possible path to infer statistics of small-scale tracer heterogeneity from ERT data that can subsequently be used to characterize mixing processes at the field-scale.
Tasks and methodology
- Milifluidic experiments combined with geophysical monitoring and interpretation techniques.
- Development of appropriate theoretical modeling tools.
- Test the upscaling method from field-based time-lapse ERT data at the Argentona site, Spain.
Prof. Dr. Niklas Linde
Prof. Dr. Tanguy Le Borgne
Prof. Dr. Yves Meheust
Prof. Dr. Marco Dentz.
Dissemination and communication
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Poster presented during the 4th Cargèse Summer School : Millifluidic tracer experiments to investigate the signature of saline diffusion on effective electrical conductivity
Database for the future datasets : H+ database
Jougnot, D., J. Jimenez-Mafünez, R. Legendre, T. Le Borgne, Y. Meheust, and N. Linde (2018). Impact of small-scale saline tracer heterogeneity on electrical resistivity monitoring under saturated and partially saturated conditions: Insights from geoelectrical millifluidic experiments. Advances in Water Resources.
Singha, K. and S.M. Gorelick (2005). Saline tracer visualized with three-dimensional electrical resistivity tomography: Field-scale spatial moment analysis. Water Resources Research 4I (5), W05023.
Le Borgne, T., M.Dentz and E. Villermaux (2015). The lamellar description of mixing in porous media. Journal of Fluid Mechanics 770, 458-498.