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Fracture imaging within a granitic rock aquifer using multiple-offset single-hole and cross-hole GPR reflection data

Abstract : The sparsely spaced highly permeable fractures of the granitic rock aquifer at Stang-er-Brune (Brittany, France) form a well-connected fracture network of high permeability but unknown geometry. Previous work based on optical and acoustic logging together with single-hole and cross-hole flowmeter data acquired in 3 neighbouring boreholes (70-100 m deep) has identified the most important permeable fractures crossing the boreholes and their hydraulic connections. To constrain possible flow paths by estimating the geometries of known and previously unknown fractures, we have acquired, processed and interpreted multifold, single- and cross-hole GPR data using 100 and 250 MHz antennas. The GPR data processing scheme consisting of time-zero corrections, scaling, bandpass filtering and F-X deconvolution, eigenvector filtering, muting, pre-stack Kirchhoff depth migration and stacking was used to differentiate fluid-filled fracture reflections from source-generated noise. The final stacked and pre-stack depth-migrated GPR sections provide high-resolution images of individual fractures (dipping 30-90°) in the surroundings (2-20 m for the 100 MHz antennas; 2-12 m for the 250 MHz antennas) of each borehole in a 2D plane projection that are of superior quality to those obtained from single-offset sections. Most fractures previously identified from hydraulic testing can be correlated to reflections in the single-hole data. Several previously unknown major near vertical fractures have also been identified away from the boreholes.
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Contributor : Isabelle Dubigeon Connect in order to contact the contributor
Submitted on : Wednesday, February 22, 2012 - 9:17:31 AM
Last modification on : Wednesday, May 11, 2022 - 4:26:39 AM

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Caroline Dorn, Niklas Linde, Joseph Doetsch, Tanguy Le Borgne, Olivier Bour. Fracture imaging within a granitic rock aquifer using multiple-offset single-hole and cross-hole GPR reflection data. Journal of Applied Geophysics, Elsevier, 2012, 78, pp.123-132. ⟨10.1016/j.jappgeo.2011.01.010⟩. ⟨insu-00672800⟩



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