Predicting wettability of mineral/CO

Wettability Carbon Dioxide Ecosystem Minerals
CO(2) geological storage Contact angle/wettability Machine learning Organic acids

Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 09 05 2023
revised: 09 08 2023
accepted: 15 10 2023
medline: 15 11 2023
pubmed: 20 10 2023
entrez: 20 10 2023
Statut: ppublish

Résumé

Effectively storing carbon dioxide (CO

Identifiants

DOI: 10.1016/j.chemosphere.2023.140469 PMID: 37858769
pubmed: 37858769
pii: S0045-6535(23)02739-X
doi: 10.1016/j.chemosphere.2023.140469
pii:
doi:

Substances chimiques

brine 0
Carbon Dioxide 142M471B3J
Minerals 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

140469

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Zeeshan Tariq (Z)

Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia. Electronic address: zeeshan.tariq@kaust.edu.sa.

Muhammad Ali (M)

Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.

Aliakbar Hassanpouryouzband (A)

Grant Institute, School of Geosciences, University of Edinburgh, West Main Road, Edinburgh, EH9 3FE, United Kingdom.

Bicheng Yan (B)

Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.

Shuyu Sun (S)

Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.

Hussein Hoteit (H)

Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.

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Classifications MeSH

questionsmedicales.fr › Phénomènes chimiques › Propriétés de surface › Mouillabilité › Predicting wettability of mineral/CO
questionsmedicales.fr › Produits chimiques inorganiques › Composés de l'oxygène › Oxydes › Dioxyde de carbone › Predicting wettability of mineral/CO
questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › Predicting wettability of mineral/CO
questionsmedicales.fr › Produits chimiques inorganiques › Minéraux › Predicting wettability of mineral/CO