85 citations · 207 across the 11 of their papers we have counts for
11 papers
Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations
Alexander C. Murph, Justin D. Strait, Kelly R. Moran +3
Large-scale discrete fracture network (DFN) simulators are standard fare for studies involving the sub-surface transport of particles since direct observation of real world undergr…
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration
Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley +2
We perform a set of flow and reactive transport simulations within three-dimensional fracture networks to learn the factors controlling mineral reactions. CO mineralization req…
PySimFrac: A Python Library for Synthetic Fracture Generation, Analysis, and Simulation
Eric Guiltinan, Javier E. Santos, Prakash Purswani +1
In this paper, we introduce Pysimfrac, a open-source python library for generating 3-D synthetic fracture realizations, integrating with fluid simulators, and performing analysis.…
Bayesian Learning of Gas Transport in Three-Dimensional Fracture Networks
Yingqi Shi, Donald J. Berry, John Kath +9
Modeling gas flow through fractures of subsurface rock is a particularly challenging problem because of the heterogeneous nature of the material. High-fidelity simulations using di…
Impact of artificial topological changes on flow and transport through fractured media due to mesh resolution
Aleksandra A. Pachalieva, Matthew R. Sweeney, Hari Viswanathan +3
We performed a set of numerical simulations to characterize the interplay of fracture network topology, upscaling, and mesh refinement on flow and transport properties in fractured…
Flow and Transport in Three-Dimensional Discrete Fracture Matrix Models using Mimetic Finite Difference on a Conforming Multi-Dimensional Mesh
Jeffrey D. Hyman, Matthew R. Sweeney, Carl W. Gable +3
We present a comprehensive workflow to simulate single-phase flow and transport in fractured porous media using the discrete fracture matrix approach. The workflow has three primar…
Variable resolution Poisson-disk sampling for meshing discrete fracture networks
Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman +2
We present the near-Maximal Algorithm for Poisson-disk Sampling (nMAPS) to generate point distributions for variable resolution Delaunay triangular and tetrahedral meshes in two an…
Maximal Poisson-disk Sampling for Variable Resolution Conforming Delaunay Mesh Generation: Applications for Three-Dimensional Discrete Fracture Networks and the Surrounding Volume
Johannes Krotz, Matthew R. Sweeney, Carl W. Gable +2
We propose a two-stage algorithm for generating Delaunay triangulations in 2D and Delaunay tetrahedra in 3D that employs near maximal Poisson-disk sampling. The method generates a…
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric Hagberg +5
We present a topology-based method for mesh-partitioning in three-dimensional discrete fracture network (DFN) simulations that take advantage of the intrinsic multi-level nature of…
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…
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…