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

27 May 2017Manuel ValeraZhengyang GuoPriscilla KellySean MatzVito Adrian CantuAllon G. PercusJeffrey D. HymanGowri SrinivasanHari S. Viswanathan

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 such as dfnWorks are designed to simulate flow and transport in such porous media... (read more)

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