95 citations · 414 across the 15 of their papers we have counts for
Showing 2017Show all
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physics.comp-ph2017★ 85 cited
Modeling flow and transport in fracture networks using graphs
S. Karra, D. O'Malley, J. D. Hyman +2
Fractures form the main pathways for flow in the subsurface within low-permeability rock. For this reason, accurately predicting flow and transport in fractured systems is vital fo…
physics.geo-ph2017★ 66 cited
Machine learning for graph-based representations of three-dimensional discrete fracture networks
Manuel Valera, Zhengyang Guo, Priscilla Kelly +6
Structural and topological information play a key role in modeling flow and transport through fractured rock in the subsurface. Discrete fracture network (DFN) computational suites…