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Predicting wettability of mineral/CO2/brine systems via data-driven machine learning modeling: Implications for carbon geo-sequestration.
Tariq, Zeeshan; Ali, Muhammad; Hassanpouryouzband, Aliakbar; Yan, Bicheng; Sun, Shuyu; Hoteit, Hussein.
Afiliación
  • 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.
  • Ali M; Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.
  • Hassanpouryouzband A; Grant Institute, School of Geosciences, University of Edinburgh, West Main Road, Edinburgh, EH9 3FE, United Kingdom.
  • Yan B; Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.
  • Sun S; Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.
  • Hoteit H; Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia.
Chemosphere ; 345: 140469, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37858769
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dióxido de Carbono / Ecosistema Idioma: En Revista: Chemosphere Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dióxido de Carbono / Ecosistema Idioma: En Revista: Chemosphere Año: 2023 Tipo del documento: Article