Review on space energy

T Zhang, Y Li, Y Chen, X Feng, X Zhu, Z Chen, J Yao… - Applied Energy, 2021 - Elsevier
Energy resources in outer space, also known as space energy, has been recognized as a
promising supplement to conventional energy supplies on Earth, as well as an irreplaceable …

[HTML][HTML] Review of deep learning algorithms in molecular simulations and perspective applications on petroleum engineering

J Liu, T Zhang, S Sun - Geoscience Frontiers, 2024 - Elsevier
In the last few decades, deep learning (DL) has afforded solutions to macroscopic problems
in petroleum engineering, but mechanistic problems at the microscale have not benefited …

Deep learning–assisted phase equilibrium analysis for producing natural hydrogen

T Zhang, Y Zhang, K Katterbauer, A Al Shehri… - International Journal of …, 2024 - Elsevier
The development of natural hydrogen is an emerging topic in the current energy transition
trend. The production process involves compositional multiphase flow via subsurface porous …

Physics-informed machine learning model for computational fracture of quasi-brittle materials without labelled data

B Zheng, T Li, H Qi, L Gao, X Liu, L Yuan - International Journal of …, 2022 - Elsevier
Only a few studies have focused on the simulation of the crack propagation of quasi-brittle
materials under complex loading inspired by physical-informed neural networks (PINN) …

Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow

M Tang, Y Liu, LJ Durlofsky - Computer Methods in Applied Mechanics and …, 2021 - Elsevier
Data assimilation in subsurface flow systems is challenging due to the large number of flow
simulations often required, and by the need to preserve geological realism in the calibrated …

Phase equilibrium in the hydrogen energy chain

T Zhang, Y Zhang, K Katterbauer, A Al Shehri, S Sun… - Fuel, 2022 - Elsevier
In this paper, a thorough review of the current state of the hydrogen phase equilibrium
approaches is presented. Potential applications of phase equilibrium calculations for the …

A machine learning model for predicting the minimum miscibility pressure of CO2 and crude oil system based on a support vector machine algorithm approach

H Chen, C Zhang, N Jia, I Duncan, S Yang, YZ Yang - Fuel, 2021 - Elsevier
CO 2 enhanced oil recovery (EOR) is a potential way for carbon capture, utilization and
storage (CCUS). However, the effect of CO 2 injection is greatly influenced by the reservoir …

Geochemical modelling of CO2 interactions with shale: Kinetics of mineral dissolution and precipitation on geological time scales

A Fatah, HB Mahmud, Z Bennour, R Gholami… - Chemical …, 2022 - Elsevier
Abstract The research on Carbon Capture and Storage (CCS) has become fruitful as energy-
intensive industries are working towards transitioning to low carbon energy industry. Shale …

Composite material-based a clay for adsorption desalination and cooling applications

AS Alsaman, EMM Ibrahim, AA Askalany… - … Research and Design, 2022 - Elsevier
This paper studies improving the performance of an adsorption system by improving raw
bentonite as an adsorbent. Acid treatment has been used for the pretreatment of raw …

Accelerating flash calculations in unconventional reservoirs considering capillary pressure using an optimized deep learning algorithm

T Zhang, Y Li, S Sun, H Bai - Journal of Petroleum Science and …, 2020 - Elsevier
An increasing focus was placed in the past few decades on accelerating flash calculations
and a variety of acceleration strategies have been developed to improve its efficiency …