Abstract We present the PoreFlow-Net, a 3D convolutional neural network architecture that provides fast and accurate fluid flow predictions for 3D digital rock images. We trained our …
The permeability of complex porous materials is of interest to many engineering disciplines. This quantity can be obtained via direct flow simulation, which provides the most accurate …
MPLBM-UT is a specialized lattice-Boltzmann library that makes running single-and two- phase flow simulations in porous media accessible to everyone. We provide a suite of tools …
Fractures are conduits for fluid flow in low‐permeability geological formations. Multiphase flow properties of fractures are important in natural processes and in engineering …
Fluid flow in complex fracture systems near wellbore is influenced by heterogeneous fluid pathway structure, proppant distribution, and stress-induced fracture aperture change. The …
Digital rock images are computational representations that capture the geometrical complexity of systems present ubiquitously in nature. In recent years, their use has become …
In this study, we propose a computational methodology to optimize the microstructure of the carbon felt electrode employed in redox flow batteries. Our optimization objective is to …
Depletion of oil and gas reservoirs during production from fractured wells, or fluid injection through frack-packs may cause significant changes in the effective stress that proppants …
The permeability of complex porous materials is of interest to many engineering disciplines. This quantity can be obtained via direct flow simulation, which provides the most accurate …