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Mohammed Y. Ali

Khalifa University

Abu Dhabi

United Arab Emirates

  • Khalifa University

SCHOLARLY PAPERS

5

DOWNLOADS

334

TOTAL CITATIONS

0

Scholarly Papers (5)

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1.

Silurian-Holocene Tectonostratigraphy of Abu Dhabi, United Arab Emirates

Number of pages: 52 Posted: 06 Feb 2023
Mohammed A. Jabir, Mohammed Y. Ali, Ahmed Abdelmaksoud, Sadoon Morad and Alessandro Decarlis
Khalifa University, Khalifa University, Khalifa University, Khalifa University and Khalifa University
Downloads 118 (608,822)

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Abu Dhabi, seismic sequences, tectonostratigraphic units, intrashelf basins, Arabian Plate

2.

Late Cretaceous Ophiolite Emplacement and Cenozoic Collisional Tectonics in the Northern Uae: Insights from Broadband Magnetotelluric Data

Number of pages: 37 Posted: 24 Aug 2023
Biruk Abera Cherkose, HAKIM SAIBI, Khalid Al Bloushi, Mohammed Y. Ali and Abdel-Rahman Fowler
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Khalifa University and affiliation not provided to SSRN
Downloads 86 (771,553)

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Magnetotelluric, northern UAE, Semail Ophiolite, foreland basin, collisional tectonics, fold and thrust belt

3.

Post-Middle Miocene Structural Evolution of the Fujairah Basin Driven by Arabia–Iran Convergence

Number of pages: 31 Posted: 04 Nov 2025
Omar Abdulrahman Aldhanhani, Mohammed Y. Ali, Aisha Al Suwaidi, Ahmed Abdelmaksoud and Hemin Koyi
Khalifa University, Khalifa University, Khalifa University of Science and Technology, Khalifa University and Uppsala University
Downloads 81 (816,709)

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Fujairah Basin, Gulf of Oman, extensional strike-slip duplex, transtension, Makran subduction zone, Holocene progradation

4.

Machine-learning estimation of H2/brine/rock wettability across geosystems for underground hydrogen storage

Number of pages: 60 Posted: 03 Mar 2026
Andreas Fernandez Moncada, Mohammed Y. Ali and Muhammad Arif
Khalifa University, Khalifa University and Khalifa University
Downloads 31 (1,318,317)

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H2 geo-storage, wettability, UHS, Mineral, Artificial intelligence, Machine learning

5.

Wettability and Pore Structure-Aware Prediction of CO2 Residual Trapping using Machine Learning: Implications for CO2 geo-storage

Number of pages: 72 Posted: 30 May 2026
Andreas Fernandez Moncada, Mohammed Y. Ali, Mohamed Mahmoud, Stefan Iglauer and Muhammad Arif
Khalifa University, Khalifa University, King Fahd University of Petroleum and Minerals, Edith Cowan University - School of Engineering and Khalifa University
Downloads 18 (1,541,665)

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Carbon capture and storage, Residual trapping, machine learning, Empirical correlations, CO2 geological storage, Wettability