A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality

S Chen, J Liu, Q Zhang, F Teng, BC McLellan - Renewable and Sustainable …, 2022 - Elsevier
With the proposal to achieve carbon neutrality by the mid-21st century, carbon capture,
utilization, and storage (CCUS) as a critical negative carbon technology is receiving …

Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience

P Yao, Z Yu, Y Zhang, T Xu - Fuel, 2023 - Elsevier
Greenhouse gas emissions cause serious global climate change, and it is urgent to curb CO
2 emissions. As the last-guaranteed technology to reduce carbon emissions, carbon capture …

Exploring the power of machine learning to predict carbon dioxide trapping efficiency in saline aquifers for carbon geological storage project

M Safaei-Farouji, HV Thanh, Z Dai… - Journal of Cleaner …, 2022 - Elsevier
Carbon geological sequestration (CGS) in saline aquifers is an effective carbon utilization
approach to decrease the effect of greenhouse gases on the atmosphere. However, the …

Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

S Davoodi, HV Thanh, DA Wood, M Mehrad… - Separation and …, 2023 - Elsevier
Hydrogen (H 2) absorption percentage by porous carbon media (PCM) is important for
identifying efficient H 2 storage media. PCM with H 2-uptakes of greater than 5 wt% are …

Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects

HV Thanh, DS Dashtgoli, H Zhang, B Min - Energy, 2023 - Elsevier
Enhanced oil recovery (EOR) using CO 2 injection is promising with economic and
environmental benefits as an active climate-change mitigation approach. Nevertheless, the …

Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and …

H Zhang, HV Thanh, M Rahimi, WJ Al-Mudhafar… - Science of The Total …, 2023 - Elsevier
The utilization of carbon capture utilization and storage (CCUS) in unconventional
formations is a promising way for improving hydrocarbon production and combating climate …

Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms

M Rajabi, O Hazbeh, S Davoodi, DA Wood… - Journal of Petroleum …, 2023 - Springer
Shear wave velocity (VS) data from sedimentary rock sequences is a prerequisite for
implementing most mathematical models of petroleum engineering geomechanics …

[HTML][HTML] Probing Solubility and pH of CO2 in aqueous solutions: Implications for CO2 injection into oceans

E Mohammadian, F Hadavimoghaddam… - Journal of CO2 …, 2023 - Elsevier
CO 2 sequestration is among the most anticipated methods to mitigate the already
detrimental concentrations of CO 2 in the atmosphere. Among sequestration methods, CO 2 …

Development of an energy consumption prediction model for battery electric vehicles in real-world driving: a combined approach of short-trip segment division and …

Y Pan, W Fang, W Zhang - Journal of Cleaner Production, 2023 - Elsevier
Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …

Interpretable knowledge-guided framework for modeling minimum miscible pressure of CO2-oil system in CO2-EOR projects

B Shen, S Yang, X Gao, S Li, K Yang, J Hu… - … Applications of Artificial …, 2023 - Elsevier
Carbon dioxide enhanced oil recovery (CO 2-EOR) is a promising application for carbon
capture, utilization and storage (CCUS). Accurate modeling of CO 2-oil minimum miscible …