Diane Doolaeghe

Diane Doolaeghe
Université de Rennes 1 | UR1 · UMR CNRS 6118 - Géosciences Rennes

Master of Science

About

10
Publications
1,876
Reads
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18
Citations
Citations since 2016
10 Research Items
18 Citations
20162017201820192020202120220246810
20162017201820192020202120220246810
20162017201820192020202120220246810
20162017201820192020202120220246810
Introduction
Additional affiliations
January 2018 - present
Itasca Consultants SAS
Position
  • PhD Student
Education
September 2014 - September 2017
EOST
Field of study
  • Geophysics

Publications

Publications (10)
Thesis
Full-text available
Fracture networks have a major impact on crystalline rocks' hydraulic properties because they constitute the only flowing paths. Field data often point out that a large proportion of the network is however sealed by physico-chemical processes and thus is impermeable. For example, at the Forsmark site (Sweden), future deep nuclear waste repository,...
Conference Paper
Full-text available
evaluate the use of graphs as a fast and relevant substitute to DFNs. Graphs reduce the DFNs’ complexity to their connectivity structure by forming an assembly of nodes connected by edges, to which physical properties, like a conductance, can be assigned. Both the graph architecture (either fracture- or intersection- based) and the edge conductance...
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...
Technical Report
The objective is to significantly reduce the rock mass mechanical modeling uncertainties, which are above all related to the geometrical and mechanical properties of the fracture network, especially relative to scaling and anisotropy issues. It is also to better address, in the numerical models, the issues raised by the complex nature of the rock f...
Article
Full-text available
Fractured rocks are often modeled as multiscale populations of interconnected discrete fractures (discrete fracture network, DFN). Graph representations of DFNs reduce their complexity to their connectivity structure by forming an assembly of nodes connected by links (edges) to which physical properties, like a conductance, can be assigned. In this...
Poster
Full-text available
DFN.lab is a modular computational suite to deal with three-dimensional discrete fracture networks (DFN) models from DFN generation to simulation and analysis of connectivity, flow, mechanical and transport properties. DFN.lab is developed by the Fractory, a joint laboratory between the French institute for scientific research (CNRS), the universit...
Poster
In crystalline rocks, flow takes place within the network of open fractures. Predicting flow paths is a basic requirement for groundwater management or environmental risk assessment. A major issue is that a large amount of fractures (up to 80%) is completely sealed by mineral precipitations and rock weathering with potentially important consequence...
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...
Conference Paper
Full-text available
Geophysical fields possess large fluctuations over many spatial and temporal scales. Satellite successive images provide interesting sampling of this spatio-temporal multiscale variability. Here we propose to consider such variability by performing satellite time series analysis, pixel by pixel, using Empirical Mode Decomposition (EMD). EMD is a ti...

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