Scale‐bridging in three‐dimensional fracture networks: Characterizing the effects of variable fracture apertures on network‐scale flow channelization
We incorporate observations of real fracture aperture variability observed in laboratory
experiments into an ensemble of three‐dimensional discrete fracture network (DFN) …
experiments into an ensemble of three‐dimensional discrete fracture network (DFN) …
Machine-learning predictions of the shale wells' performance
The ultra-low permeability nature of shale reservoirs leads to an extended linear flow and
necessitates horizontal wells with multi-stage engineered fractures to efficiently extract …
necessitates horizontal wells with multi-stage engineered fractures to efficiently extract …
Anomalous transport in three‐dimensional discrete fracture networks: Interplay between aperture heterogeneity and injection modes
We study how the interplay between fracture aperture heterogeneity and tracer injection
mode controls fluid flow and tracer transport in three‐dimensional (3D) discrete fracture …
mode controls fluid flow and tracer transport in three‐dimensional (3D) discrete fracture …
Flow and transport in three-dimensional discrete fracture matrix models using mimetic finite difference on a conforming multi-dimensional mesh
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 …
fractured porous media using the discrete fracture matrix approach. The workflow has three …
Upscaled discrete fracture matrix model (UDFM): an octree-refined continuum representation of fractured porous media
We develop a computational geometry-based upscaling approach to accurately capture the
dynamic processes occurring within and between subsurface fracture networks and the …
dynamic processes occurring within and between subsurface fracture networks and the …
Machine learning for graph-based representations of three-dimensional discrete fracture networks
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 …
fractured rock in the subsurface. Discrete fracture network (DFN) computational suites such …
Toward better hydraulic fracturing fluids and their application in energy production: A review of sustainable technologies and reduction of potential environmental …
Recent advances in hydraulic fracturing, in conjunction with horizontal drilling, have enabled
large-scale extraction of natural gas and oil from shale formations. Despite its advances and …
large-scale extraction of natural gas and oil from shale formations. Despite its advances and …
Predictions of first passage times in sparse discrete fracture networks using graph-based reductions
We present a graph-based methodology to reduce the computational cost of obtaining first
passage times through sparse fracture networks. We derive graph representations of …
passage times through sparse fracture networks. We derive graph representations of …
[HTML][HTML] Modeling and scale-bridging using machine learning: Nanoconfinement effects in porous media
Fine-scale models that represent first-principles physics are challenging to represent at
larger scales of interest in many application areas. In nanoporous media such as tight-shale …
larger scales of interest in many application areas. In nanoporous media such as tight-shale …
Matrix diffusion in fractured media: New insights into power law scaling of breakthrough curves
We develop a theoretical model for power law tailing behavior of transport in fractured rock
based on the relative dominance of the decay rate of the advective travel time distribution …
based on the relative dominance of the decay rate of the advective travel time distribution …