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Parallel meshing, discretization, and computation of flow in massive discrete fracture networks
In the present work a message passing interface (MPI) parallel implementation of an
optimization-based approach for the simulation of underground flows in large discrete …
optimization-based approach for the simulation of underground flows in large discrete …
Reliable a posteriori mesh adaptivity in discrete fracture network flow simulations
A new approach for the flow simulation in very complex Discrete Fracture Networks (DFNs)
based on PDE-constrained optimization has been recently proposed in Berrone et al.(2013 …
based on PDE-constrained optimization has been recently proposed in Berrone et al.(2013 …
Comparison of the response to geometrical complexity of methods for unstationary simulations in discrete fracture networks with conforming, polygonal, and non …
The aim of this study is to compare numerical methods for the simulation of single-phase
flow and transport in fractured media, described here by means of the discrete fracture …
flow and transport in fractured media, described here by means of the discrete fracture …
Machine learning for flux regression in discrete fracture networks
In several applications concerning underground flow simulations in fractured media, the
fractured rock matrix is modeled by means of the Discrete Fracture Network (DFN) model …
fractured rock matrix is modeled by means of the Discrete Fracture Network (DFN) model …
An optimization approach for flow simulations in poro-fractured media with complex geometries
A new discretization approach is presented for the simulation of flow in complex poro-
fractured media described by means of the Discrete Fracture and Matrix Model. The method …
fractured media described by means of the Discrete Fracture and Matrix Model. The method …
A robust VEM-based approach for flow simulations in poro-fractured media
In this paper, a Virtual Element Method (VEM)-based approach is proposed for the
simulation of flow in fractured porous media. The method is based on a robust meshing …
simulation of flow in fractured porous media. The method is based on a robust meshing …
Performance analysis of multi-task deep learning models for flux regression in discrete fracture networks
S Berrone, F Della Santa - Geosciences, 2021 - mdpi.com
In this work, we investigate the sensitivity of a family of multi-task Deep Neural Networks
(DNN) trained to predict fluxes through given Discrete Fracture Networks (DFNs) …
(DNN) trained to predict fluxes through given Discrete Fracture Networks (DFNs) …
[PDF][PDF] Data-Driven Deep Learning Methods for Physically-Based Simulations
F Della Santa - 2021 - iris.unito.it
In this doctoral thesis, we study and analyze Deep Learning applications to learn physically-
based simulations' results. The first type of application is focused on underground flow …
based simulations' results. The first type of application is focused on underground flow …
[HTML][HTML] Geometric model of the fracture as a manifold immersed in porous media
P Paranamana, E Aulisa, M Toda - Journal of Mathematical Physics, 2021 - pubs.aip.org
In this work, we analyze the flow filtration process of slightly compressible fluids in porous
media containing fractures with complex geometries. We model the coupled fracture-porous …
media containing fractures with complex geometries. We model the coupled fracture-porous …
Analysis of conforming, non-matching, and polygonal methods for Darcy and advection-diffusion-reaction simulations in discrete fracture networks
The aim of this study is to compare numerical methods for the simulation of single-phase
flow and transport in fractured media, described here by means of the Discrete Fracture …
flow and transport in fractured media, described here by means of the Discrete Fracture …