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A review of underground hydrogen storage systems: Current status, modeling approaches, challenges, and future prospective
SO Bade, K Taiwo, UF Ndulue, OS Tomomewo… - International Journal of …, 2024 - Elsevier
Our increased reliance on fossil fuels and its environmental effects have led us to prioritize
transitioning to a carbon-free economy and using renewable sources of electric power …
transitioning to a carbon-free economy and using renewable sources of electric power …
Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges
Hydrogen, as a clean and efficient energy source, is important in achieving zero-CO 2
targets. This paper explores the potential of hydrogen geologic storage (HGS) in China for …
targets. This paper explores the potential of hydrogen geologic storage (HGS) in China for …
Artificial intelligence-driven assessment of salt caverns for underground hydrogen storage in Poland
This study explores the feasibility of utilizing bedded salt deposits as sites for underground
hydrogen storage. We introduce an innovative artificial intelligence framework that applies …
hydrogen storage. We introduce an innovative artificial intelligence framework that applies …
[HTML][HTML] Modelling underground hydrogen storage: A state-of-the-art review of fundamental approaches and findings
M Saeed, P Jadhawar - Gas Science and Engineering, 2024 - Elsevier
This review presents a state-of-the-art of geochemical, geomechanical, and hydrodynamic
modelling studies in the Underground Hydrogen Storage (UHS) domain. Geochemical …
modelling studies in the Underground Hydrogen Storage (UHS) domain. Geochemical …
A critical review of physics-informed machine learning applications in subsurface energy systems
Abstract Machine learning has emerged as a powerful tool in various fields, including
computer vision, natural language processing, and speech recognition. It can unravel …
computer vision, natural language processing, and speech recognition. It can unravel …
Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis
Interfacial tension (IFT) is a key physical property that affects various processes in the oil and
gas industry, such as enhanced oil recovery, multiphase flow, and emulsion stability …
gas industry, such as enhanced oil recovery, multiphase flow, and emulsion stability …
A machine learning strategy for enhancing the strength and toughness in metal matrix composites
Z Zhong, J An, D Wu, N Gao, L Liu, Z Wang… - International Journal of …, 2024 - Elsevier
Particle-reinforced metal matrix composites (MMCs) are highly sought after for various
applications due to their robust mechanical properties containing high strength and high …
applications due to their robust mechanical properties containing high strength and high …
Explosive utilization efficiency enhancement: An application of machine learning for powder factor prediction using critical rock characteristics
Maximizing the use of explosives is crucial for optimizing blasting operations, significantly
influencing productivity and cost-effectiveness in mining activities. This work explores the …
influencing productivity and cost-effectiveness in mining activities. This work explores the …
Predictive Modeling of Energy Poverty with Machine Learning Ensembles: Strategic Insights from Socioeconomic Determinants for Effective Policy Implementation
S Gawusu, SA Jamatutu… - International Journal of …, 2024 - Wiley Online Library
This study aims to identify the key predictors of the multidimensional energy poverty index
(MEPI) by employing advanced machine learning (ML) ensemble methods. Traditional …
(MEPI) by employing advanced machine learning (ML) ensemble methods. Traditional …
Enhanced desalination with polyamide thin-film membranes using ensemble ML chemometric methods and SHAP analysis
Addressing global freshwater scarcity requires innovative technological solutions, among
which desalination through thin-film composite polyamide membranes stands out. The …
which desalination through thin-film composite polyamide membranes stands out. The …