A field assessment of the ability of Ground Penetrating Radar to detect fractures in very low permeable crystalline rock
Justine MOLRON 1, 4 , Niklas LINDE 2, Ludovic BARON 2, Jan-Olof SELROOS 3 , Caroline DARCEL 1 and Philippe DAVY 41 Itasca Consultants SAS, Ecully, France ([email protected]); 2 Université de Lausanne, UNIL, Lausanne, Switzerland; 3 Svensk Kärnbränslehantering AB, SKB, Solna, Sweden, 4 Géosciences Rennes, OSUR, CNRS, Université de Rennes 1, Rennes, France
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• Manual choice of reflections: 17 sub-
horizontal + 3 sub-vertical fracture planes
• Three 9.5 m deep boreholes drilled after
choice of reflections (BH1, BH2, BH3)
• 9 “GPR fractures” crossing the boreholes
A. Comparison with borehole data B. Comparison with statistical model
B.1 3D statistical model
• Estimation of the GPR detection
capacity (%): GPR fracture
density/3D statistical density
• Estimation of GPR fracture
density distribution and
comparison with statistical
model
• Fracture area between 1-10 m2
• Fracture dip between 0-25°
• 2D data: 3513 fracture traces with
orientation
• 3D model: derived from 2D traces by
stereological rules:
➢ Fracture size density distribution
(Piggott, 1997)
➢ Fracture orientation distribution
(Mauldon and Mauldon, 1997)
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No 722028
Sensing capacity of surface-based GPR to image fractures with sub-mm aperturesGPR reflection nature:
• Open fractures
• 5/9 are situated in transmissive zones (above the measurement threshold)
Bib
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Ericsson, L., Vidstrand, P., Christiansson, R., & Morosini, M. (2018). Comparison between blasting and wire sawing regarding hydraulic
properties of the excavated damaged zone in a tunnel–Experiences from crystalline rock at the Ӓspӧ Hard Rock Laboratory, Sweden. Paper
presented at the 52nd US Rock Mechanics/Geomechanics Symposium.
Mauldon, M., & Mauldon, J. G. (1997). Fracture sampling on a cylinder: From scanlines to boreholes and tunnels. Rock Mechanics and Rock
Engineering, 30(3), 129-144.
Molron, J., Linde, N., Baron, L., Selroos, J-O., Darcel, C. and Davy, P. (submitted). Which fractures are imaged with Ground Penetrating
Radar? Results from an experiment in the Äspö Hardrock Laboratory, Sweden. Engineering Geology.
Piggott, A. R. (1997). Fractal relations for the diameter and trace length of disc-shaped fractures. Journal of Geophysical Research, 102(18),
121-125. doi: https://doi.org/10.1029/97JB01202
A. Tunnel and GPR experiment design B. GPR fracture model and borehole sitingStudy area
• Location: Tunnel (410 m depth) at the Äspö Hard Rock Laboratory, Sweden
• Prior knowledge: 42 2-m deep boreholes
• EDZ*: 0.5 m of floor sawn off to remove blasting-induced fractures
• Transmissivity: 2.2-7 10-10 m2.s-1
GPR* experiment design
• Methodology: Surface-based acquisition with parallel profiles covering 3.4 m
x 19 m
• Frequencies: 160, 450 and 750 MHz
• Data sampling: 0.023 m
• Profile spacing: 0.10 m (160 MHz) and 0.05 m (450 and 750 MHz)
• Profile number: 34 (160 MHz) and 69 (450 MHz)
• Depth investigation: 10 m (160 MHz), 8 m (450 MHz) and 5 m (750 MHz)
GPR detectability in terms of fracture sizes and orientations (Molron et al., submitted):
• 5.5 % of detection: open + sealed fractures, dip 0-90°, surface area 1-10 m2
• 42 % of detection: open + sealed fractures, dip 0-25°, surface area 1-10 m2
• 80% of detection: open fractures, dip 0-25°, surface area 1-10 m2
* EDZ: Excavated Damage Zone; *GPR: Ground Penetrating Radar
B.2 GPR detection ability
* Tadpole plots show fracture localizations (circle) as a function of depth (y-axis) and dip (x-axis). The segments
represent the dip direction with the North at the top.
Ericsson et al. (2018). Photo: Rickard Enér; Illustration: Jan Rojmar
➢ Fracture detection ability of the GPR in terms of fracture orientations and sizes➢ Nature of the GPR reflections
Next experiment:
Time-lapse GPR imaging during tracer
tests