PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
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 …
provides fast and accurate fluid flow predictions for 3D digital rock images. We trained our …
[图书][B] Handbook of porous media
K Vafai - 2015 - books.google.com
This third edition offers a comprehensive overview of the latest theories on flow, transport,
and heat-exchange processes in porous media. It also details sophisticated porous media …
and heat-exchange processes in porous media. It also details sophisticated porous media …
Computationally efficient multiscale neural networks applied to fluid flow in complex 3D porous media
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 …
This quantity can be obtained via direct flow simulation, which provides the most accurate …
Production forecasting with logistic growth models
With the commercial development of extremely low permeability oil and gas reservoirs, new
challenges have arisen both from operational and reservoir standpoints. Reservoir models …
challenges have arisen both from operational and reservoir standpoints. Reservoir models …
Hybrid pore-network and lattice-Boltzmann permeability modelling accelerated by machine learning
In this paper, a permeability calculation workflow is presented that couples pore network
modeling (PNM) with a Lattice Boltzmann Method (LBM) to benefit from the strengths of both …
modeling (PNM) with a Lattice Boltzmann Method (LBM) to benefit from the strengths of both …
[HTML][HTML] Developing a virtual materials laboratory
A Sakellariou, CH Arns, AP Sheppard, RM Sok… - Materials Today, 2007 - Elsevier
Tomographic imaging can now be routinely performed over three orders of magnitude in
length scale with correspondingly high data fidelity. This capability, coupled with the …
length scale with correspondingly high data fidelity. This capability, coupled with the …
Stabilized low-order finite elements for coupled solid-deformation/fluid-diffusion and their application to fault zone transients
Finite element simulations of coupled solid-deformation/fluid-diffusion occurring in
earthquake fault zones often require high-fidelity descriptions of the spatial and temporal …
earthquake fault zones often require high-fidelity descriptions of the spatial and temporal …
Geomechanical behavior of the reservoir and caprock system at the In Salah CO2 storage project
JA White, L Chiaramonte, S Ezzedine… - Proceedings of the …, 2014 - National Acad Sciences
Almost 4 million metric tons of CO2 were injected at the In Salah CO2 storage site between
2004 and 2011. Storage integrity at the site is provided by a 950-m-thick caprock that sits …
2004 and 2011. Storage integrity at the site is provided by a 950-m-thick caprock that sits …
[HTML][HTML] Viscosity independent numerical errors for Lattice Boltzmann models: From recurrence equations to “magic” collision numbers
D d'Humières, I Ginzburg - Computers & Mathematics with Applications, 2009 - Elsevier
We prove for generic steady solutions of the Lattice Boltzmann (LB) models that the variation
of the numerical errors is set by specific combinations (called “magic numbers”) of the …
of the numerical errors is set by specific combinations (called “magic numbers”) of the …
ML-LBM: predicting and accelerating steady state flow simulation in porous media with convolutional neural networks
Fluid mechanics simulation of steady state flow in complex geometries has many
applications, from the micro-scale (cell membranes, filters, rocks) to macro-scale …
applications, from the micro-scale (cell membranes, filters, rocks) to macro-scale …