activity
20192023
most citedSuper Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images

148 citations · 283 across the 13 of their papers we have counts for

collaborators

14 papers

physics.flu-dyn2023

The impact of wettability on the co-moving velocity of two-fluid flow in porous media

Fatimah Alzubaidi, James E. McClure, Håkon Pedersen +4

The impact of wettability on the co-moving velocity of two-fluid flow in porous media is analyzed herein. The co-moving velocity, developed by Roy et al. (2022), is a novel represe…

physics.flu-dyn2023

Controlled Ion Transport in the Subsurface: A Coupled Advection-Diffusion-Electromigration System

Kunning Tang, Zhenkai Bo, Zhe Li +5

Groundwater pollution poses a significant threat to environmental sustainability during urbanization. Existing remediation methods like pump-and-treat and electrokinetics have limi…

physics.flu-dyn2023

A pore-scale model for electrokinetic in situ recovery of copper: the Influence of mineral occurrence, zeta potential, and electric potential

Kunning Tang, Zhe Li, Ying Da Wang +4

Electrokinetic in-situ recovery is an alternative to conventional mining, relying on the application of an electric potential to enhance the subsurface flow of ions. Understanding…

cs.CV2022

DeepAngle: Fast calculation of contact angles in tomography images using deep learning

Arash Rabbani, Chenhao Sun, Masoud Babaei +3

DeepAngle is a machine learning-based method to determine the contact angles of different phases in the tomography images of porous materials. Measurement of angles in 3--D needs t…

physics.flu-dyn2022

Effective permeability of an immiscible fluid in porous media determined from its geometric state

Fatimah Alzubaidi, Peyman Mostaghimi, Yufu Niu +4

Based on the phenomenological extension of Darcy's law, two-fluid flow is dependent on a relative permeability function of saturation only that is process/path dependent with an un…

eess.IV2021★ 3 cited

A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution

Yufu Niu, Samuel J. Jackson, Naif Alqahtani +2

X-ray micro-computed tomography (micro-CT) has been widely leveraged to characterise pore-scale geometry in subsurface porous rock. Recent developments in super resolution (SR) met…