Mohammed Al-Shargabi

According to our database, Mohammed Al-Shargabi authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Emerging applications of physics-informed and physics-guided machine learning in geoenergy science: A review.

Shadfar Davoodi, David A. Wood, Mohammed Al-Shargabi, Vladimir Vanovskiy, Valeriy S. Rukavishnikov, Evgeny Burnaev

Commun. Nonlinear Sci. Numer. Simul., 2026

A review of artificial intelligence techniques applied to subsurface oil and gas reservoir simulation.

Shadfar Davoodi, Nikita Makarov, David A. Wood, Mohammed Al-Shargabi, Vladimir Vanovskiy, Dmitry Koroteev, Valeriy S. Rukavishnikov, Evgeny Burnaev

Appl. Soft Comput., 2026

2025

A robust hybrid near-real-time model for prediction of drilling fluids filtration.

Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov

Eng. Comput., August, 2025

Advancement of artificial intelligence applications in hydrocarbon well drilling technology: A review.

Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, Mohammad Mehrad

Appl. Soft Comput., 2025

2024

A novel data-driven model for real-time prediction of static Young's modulus applying mud-logging data.

Shadfar Davoodi, Mohammad Mehrad, David A. Wood, Mohammed Al-Shargabi, Grachik Eremyan, Tamara Shulgina

Earth Sci. Informatics, December, 2024

Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern - a theoretical study.

Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammed Al-Shargabi, Valeriy S. Rukavishnikov

Expert Syst. Appl., 2024

2023

A Developed Robust Model and Artificial Intelligence Techniques to Predict Drilling Fluid Density and Equivalent Circulation Density in Real Time.

Mohammed Al-Rubaii, Mohammed Al-Shargabi, Bayan Aldahlawi, Dhafer Al-Shehri, Konstantin M. Minaev

Sensors, July, 2023

2019

A Learning Outcome Inspired Survey Instrument for Assessing the Quality of Continuous Improvement Cycle.

Abdallah Namoun, Ahmad Taleb, Mohammed Al-Shargabi, Mohamed Benaida

Int. J. Inf. Commun. Technol. Educ., 2019

2018

Decision tree rule learning approach to counter burst header packet flooding attack in Optical Burst Switching network.

Adel D. Rajab, Chin-Tser Huang, Mohammed Al-Shargabi

Opt. Switch. Netw., 2018

2017

An enhanced burst assembly scheme over optical burst switching networks.

Mohammed Al-Shargabi, Faisal Saeed, Abdul Samad Ismail, Sevia M. Idrus

Int. J. Inf. Commun. Technol., 2017

2016

Countering Burst Header Packet Flooding Attack in Optical Burst Switching Network.

Adel D. Rajab, Chin-Tser Huang, Mohammed Al-Shargabi, Jorge Arturo Cobb

Proceedings of the Information Security Practice and Experience, 2016