Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review
Carbon capture, utilisation and storage (CCUS) will play a critical role in future
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
Pore-scale fluid flow simulation coupling lattice Boltzmann method and pore network model
The lattice Boltzmann method and pore network model are two types of the most popular
pore-scale fluid flow simulation methods. As a direct numerical simulation method, lattice …
pore-scale fluid flow simulation methods. As a direct numerical simulation method, lattice …
Upscaling Permeability Using Multiscale X‐Ray‐CT Images With Digital Rock Modeling and Deep Learning Techniques
This study presents a workflow to predict the upscaled absolute permeability of the rock core
direct from CT images whose resolution is not sufficient to allow direct pore‐scale …
direct from CT images whose resolution is not sufficient to allow direct pore‐scale …
The surfactant role on a droplet passing through a constricted microchannel in a pressure-driven flow: a lattice Boltzmann study
J Zhang, H Cui, H Liu, L Chen, X Zhang, C Li - Langmuir, 2023 - ACS Publications
The role of surfactants in the flow of a droplet driven by a pressure gradient through a
constricted microchannel is simulated by using our recently developed lattice Boltzmann …
constricted microchannel is simulated by using our recently developed lattice Boltzmann …
Effect of surfactants on droplet generation in a microfluidic T-junction: A lattice Boltzmann study
Droplet generation in a T-junction with surfactants is simulated using our recently developed
lattice Boltzmann method. The method is first used to explore the effect of surfactant …
lattice Boltzmann method. The method is first used to explore the effect of surfactant …
Modeling of three-phase displacement in three-dimensional irregular geometries using a lattice Boltzmann method
Three-phase displacement process in a porous media is significantly influenced by
wettability of the solid surfaces. It remains a research challenge to model and simulate three …
wettability of the solid surfaces. It remains a research challenge to model and simulate three …
Direct Prediction of Fluid‐Fluid Displacement Efficiency in Ordered Porous Media Using the Pore Structure
Fluid‐fluid displacement in porous media is common in many natural and engineering
settings. Extensive studies investigated the transition of displacement patterns, but the direct …
settings. Extensive studies investigated the transition of displacement patterns, but the direct …
Prediction of three-phase relative permeabilities of Berea sandstone using lattice Boltzmann method
Three-phase flows through a pore network of Berea sandstone are studied numerically
under critical interfacial tension conditions. Results show that the relative permeability of …
under critical interfacial tension conditions. Results show that the relative permeability of …
Relative permeability variation depending on viscosity ratio and capillary number
The relative roles of parameters governing relative permeability, a crucial property for two‐
phase fluid flows, are incompletely known. To characterize the influence of viscosity ratio (M) …
phase fluid flows, are incompletely known. To characterize the influence of viscosity ratio (M) …
Lattice Boltzmann prediction of CO2 and CH4 competitive adsorption in shale porous media accelerated by machine learning for CO2 sequestration and enhanced …
CO 2 injection has become the effective and potential means to enhance shale gas recovery
and realize CO 2 geological sequestration because of the CO 2-CH 4 competitive …
and realize CO 2 geological sequestration because of the CO 2-CH 4 competitive …