On the Density Variability of Poissonian Discrete Fracture Networks, with application to power-law fracture size distributions
Univ Rennes, CNRS, Géosciences Rennes, UMR 6118, 35000 Rennes,
France
Itasca Consultants SAS, Écully, France
Philippe Davy
Univ Rennes, CNRS, Géosciences Rennes, UMR 6118, 35000 Rennes,
France
Caroline Darcel
Itasca Consultants SAS, Écully, France
Romain Le Goc
Itasca Consultants SAS, Écully, France
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Short summary
In this study, we are interested in quantifying natural fracture density variability, at any scale. We develop and numerically validate analytical solutions considering stochastic Discrete Fracture Networks, with application to networks following power-law fracture size distributions. Particularly, we show that for this kind of networks, the scaling of three-dimensional fracture density variability clearly depends on the power-law exponent, but not on the orientation distribution.
In this study, we are interested in quantifying natural fracture density variability, at any...