Justine Molron

Justine Molron
University of Rennes | UR1 · UMR CNRS 6118 - Géosciences Rennes

PhD

About

7
Publications
2,329
Reads
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35
Citations
Additional affiliations
September 2017 - present
University of Rennes
Position
  • PhD Student
Description
  • ENIGMA ITN Project - Marie Sklodowska-Curie Grant Agreement Project: Flow and transport in fracture networks: reducing uncertainty of DFN models by conditioning to geology and geophysical data.
Education
September 2014 - June 2015
Université Libre de Bruxelles
Field of study
  • geology

Publications

Publications (7)
Article
Full-text available
The empirical power law relation (PR) between resonance frequency (f0), obtained from H/V spectral ratio analysis of ambient noise, and sediment thickness (h), obtained from boreholes, is frequently used in microzonation studies to predict bedrock depth. In this study, we demonstrate (i) how to optimally construct a PR by including the error on the...
Article
Full-text available
We assess the performance of the Ground Penetrating Radar (GPR) method in fractured rock formations of very low transmissivity (e.g. T ≈ 10⁻⁹–10⁻¹⁰ m²/s for sub-mm apertures) and, more specifically, to image fracture widening induced by high-pressure injections. A field-scale experiment was conducted at the Äspö Hard Rock Laboratory (Sweden) in a t...
Thesis
Full-text available
L’identification des fractures perméables dans le sous-sol est essentielle pour déterminer les voies potentielles du transport des contaminants provenant des sites d’enfouissement en profondeur. Une approche commune consiste à développer des modèles de réseaux de fractures discrètes (« Discrete Fracture Networks » - DFN) à partir de la cartographie...
Article
Full-text available
Identifying fractures in the subsurface is crucial for many geomechanical and hydrogeological applications. Here, we assess the ability of the Ground Penetrating Radar (GPR) method to image open fractures with sub-mm apertures in the context of future deep disposal of radioactive waste. GPR experiments were conducted in a tunnel located 410 m below...
Poster
Full-text available
Predicting flow and transport properties of fractured rock masses is a major challenge in a large number of hydrological and geotechnical applications. A common approach is to derive Discrete Fracture Network (DFN) models from fracture mapping in the field and core mapping, as well as from hydraulic and tracer tests. The present work aims ultimatel...
Poster
Full-text available
Predicting the flow and mechanical behaviour of fractured rock masses is a major challenge for a large number of hydrological and geotechnical applications. This is mostly achieved by deriving DFN models from field and core mapping and pumping tests. The present research project is focused on the conditioning of DFN models to geophysical imaging da...
Conference Paper
Appropriate design of geophysical experiments combined with common hydrological measurements offer opportunities to use geophysical data as hard data in hydrological models, regarding their conceptualisation or their calibration. Two study sites located in Wallonia, Belgium, were investigated. In the first case (fractured limestone aquifer), stream...

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