The characterization of fracture networks is challenging for enhanced geothermal systems, yet crucial the understanding thermal distributions, and behaviors flow field solute transport. A novel inverse modeling framework proposed estimation networks. hierarchical parameterization method adopted in this work. For a small number large fractures, each characterized by length, azimuth coordination ...

The simulation of flow in fractured media requires handling both a large number of fractures and a complex interconnecting network of these fractures. Networks considered in this paper are three-dimensional domains made up of two-dimensional fractures intersecting each other and randomly generated. Due to the stochastic generation of fractures, intersections can be highly intricate. The numeric...

Discrete Fracture Network (DFN) is a modeling framework for fractured rocks. The core element the description of geological medium as network discrete fractures that can be either generated from statistical distributions or imported deterministic surfaces. It an alternative to continuum methods with both advantages easily integrating properties fracture networks, and not assuming any homogeniza...

The mathematical modeling of fracture networks is critical for the exploration and development of natural resources. Fractures can help the production of petroleum, water, and geothermal energy. They also greatly influence the drainage and production of methane gas from coal beds. Orientation and spatial distribution of fractures in rocks are important factors in controlling fluid flow. The obj...

this report presents a 3.5-year-old boy who was hospitalized for limping. medical history and physical exams were not suggestive for any definitive diagnosis. laboratory and radiographic exams did not support any specific diagnosis either. subsequently bone scan was performed and increased activity in the ankle due to cuboid fracture was incidentally observed.

We consider flows in fractured media, described by Discrete Fracture Network (DFN) models. We perform an Uncertainty Quantification analysis, assuming the fractures’ transmissivity coefficients to be random variables. Two probability distributions (log-uniform and log-normal) are used within different laws that express the coefficients in terms of a family of independent stochastic variables; t...