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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Fingerprint

Dive into the research topics of 'Enhancing wettability prediction in the presence of organics for hydrogen geo-storage through data-driven machine learning modeling of rock/H2/brine systems'. Together they form a unique fingerprint.

Engineering

Earth and Planetary Sciences

Material Science

Chemical Engineering

Keyphrases