Particle tracking approach for transport in three-dimensional discrete fracture networks. Particle tracking in 3-D DFNs

From MaRDI portal
Publication:1640373

DOI10.1007/s10596-015-9525-4zbMath1391.76735OpenAlexW2411309851WikidataQ57869706 ScholiaQ57869706MaRDI QIDQ1640373

Quan M. Bui, Satish Karra, Scott L. Painter, Nataliia Makedonska, Carl W. Gable

Publication date: 14 June 2018

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-015-9525-4




Related Items

Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristicsUpscaled discrete fracture matrix model (UDFM): an octree-refined continuum representation of fractured porous media\(\mathrm{Par}^2\): parallel random walk particle tracking method for solute transport in porous mediaFlow simulations in porous media with immersed intersecting fracturesPhysics-informed machine learning for backbone identification in discrete fracture networksMachine learning for graph-based representations of three-dimensional discrete fracture networksIdentifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based ApproachA Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified UncertaintyCut finite elements for convection in fractured domainsAdvanced computation of steady-state fluid flow in discrete fracture-matrix models: FEM-BEM and VEM-VEM fracture-block couplingCoarse-scale particle tracking approaches for contaminant transport in fractured rockNon-stationary transport phenomena in networks of fractures: effective simulations and stochastic analysisFraC: a new conforming mesh method for discrete fracture networksParallel Meshing, Discretization, and Computation of Flow in Massive Discrete Fracture NetworksModel reduction for fractured porous media: a machine learning approach for identifying main flow pathways


Uses Software


Cites Work