International audienceDiscrete Fracture Network (DFN) is a modeling framework for fractured rocks. The core element is the description of geological medium as a network of discrete fractures that can be either generated from statistical distributions or imported as deterministic surfaces. It is an alternative to continuum methods with both advantages of easily integrating the statistical properties of fracture networks, and of not assuming any homogenization scale. DFN has been extensively used to describe fracture network flow properties supported by the fact that connectivity, which is a constitutive element of the network organization, is a key element of fluid percolation. Application of the DFN modeling framework to geomechanics is als...
International audienceFractures have a significant impact on rock mass mechanical and hydraulic prop...
Abstract The purpose of this study is to demonstrate the effect of in-situ rock stresses on the defo...
Discrete fracture network (DFN) models have been proved to be effective tools for the characterisati...
International audienceDiscrete Fracture Network (DFN) is a modeling framework for fractured rocks. T...
International audienceDiscrete Fracture Network – is primarily a modeling framework for fractured ge...
International audienceDiscrete Fracture Network – is primarily a modeling framework for fractured ge...
International audienceDFN.lab is a modular computational suite to deal with three-dimensional discre...
International audienceDFN.lab is a modular computational suite to deal with three-dimensional discre...
International audienceDFN.lab is a modular computational suite to deal with three-dimensional discre...
International audienceWe present progress on Discrete Fracture Network (DFN) flow modeling, includin...
International audienceWe present progress on Discrete Fracture Network (DFN) flow modeling, includin...
The geological Discrete Fracture Network (DFN) model is a statistical model for stochastically simul...
We present a discussion of the state-of-the-art on the use of discrete fracture networks (DFNs) for ...
The discrete fracture network (DFN) approach is attractive for applications in which the geometry an...
We present a discussion of the state-of-the-art on the use of discrete fracture networks (DFNs) for ...
International audienceFractures have a significant impact on rock mass mechanical and hydraulic prop...
Abstract The purpose of this study is to demonstrate the effect of in-situ rock stresses on the defo...
Discrete fracture network (DFN) models have been proved to be effective tools for the characterisati...
International audienceDiscrete Fracture Network (DFN) is a modeling framework for fractured rocks. T...
International audienceDiscrete Fracture Network – is primarily a modeling framework for fractured ge...
International audienceDiscrete Fracture Network – is primarily a modeling framework for fractured ge...
International audienceDFN.lab is a modular computational suite to deal with three-dimensional discre...
International audienceDFN.lab is a modular computational suite to deal with three-dimensional discre...
International audienceDFN.lab is a modular computational suite to deal with three-dimensional discre...
International audienceWe present progress on Discrete Fracture Network (DFN) flow modeling, includin...
International audienceWe present progress on Discrete Fracture Network (DFN) flow modeling, includin...
The geological Discrete Fracture Network (DFN) model is a statistical model for stochastically simul...
We present a discussion of the state-of-the-art on the use of discrete fracture networks (DFNs) for ...
The discrete fracture network (DFN) approach is attractive for applications in which the geometry an...
We present a discussion of the state-of-the-art on the use of discrete fracture networks (DFNs) for ...
International audienceFractures have a significant impact on rock mass mechanical and hydraulic prop...
Abstract The purpose of this study is to demonstrate the effect of in-situ rock stresses on the defo...
Discrete fracture network (DFN) models have been proved to be effective tools for the characterisati...