most citedMachine learning for graph-based representations of three-dimensional discrete fracture networks

66 citations · 66 across the 1 of their papers we have counts for

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1 paper

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…