Enhancing wettability prediction in the presence of organics for hydrogen geo-storage through data-driven machine learning modeling of rock/H2/brine systems-Reference-Cited by-同舟云学术

Enhancing wettability prediction in the presence of organics for hydrogen geo-storage through data-driven machine learning modeling of rock/H2/brine systems

Published:2023-12 Issue: Volume:354 Page:129354
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Tariq Zeeshan^ORCID,Ali Muhammad^ORCID,Yekeen Nurudeen^ORCID,Baban Auby^ORCID,Yan Bicheng,Sun Shuyu,Hoteit Hussein^ORCID

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

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