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Mohamed Riad Youcefi

Observed name: Dr. Mohamed Riad Youcefi
ORCID: 0000-0002-5025-3298
Observed ORCID: 0000-0002-5025-3298
OpenAlex ID: A5006146910
Enhancing the drilling efficiency through the application of machine learning and optimization algorithm
2023 · Farouk Said Boukredera, Mohamed Riad Youcefi, et al. · Engineering Applications of Artificial Intelligence · 64
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Rate of penetration modeling using hybridization extreme learning machine and whale optimization algorithm
2020 · Mohamed Riad Youcefi, Ahmed Hadjadj, et al. · Earth Science Informatics · 25
Robust Ensemble Learning Models for Predicting Hydrogen Sulfide Solubility in Brine
2024 · Mohamed Riad Youcefi, Wei Wei, et al. · Energy & Fuels · 20
Advanced Smart Models for Predicting Interfacial Tension in Brine-Hydrogen/Cushion Gas Systems: Implication for Hydrogen Geo-Storage
2025 · Fahd Mohamad Alqahtani, Mohamed Riad Youcefi, et al. · Energy & Fuels · 15
New model for standpipe pressure prediction while drilling using Group Method of Data Handling
2021 · Mohamed Riad Youcefi, Ahmed Hadjadj, et al. · Petroleum · 15
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AI-Driven Optimization of Drilling Performance Through Torque Management Using Machine Learning and Differential Evolution
2025 · Farouk Said Boukredera, Ahmed Hadjadj, et al. · Processes · 13
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Drill String Torsional Vibrations Modeling With Dynamic Drill Pipe Properties Measurement and Field Validation
2021 · Farouk Said Boukredera, Ahmed Hadjadj, et al. · Journal of Energy Resources Technology · 12
An interpretable and explainable deep learning model for predicting hydrogen solubility in diverse chemicals
2024 · Mohamed Riad Youcefi, Fahd Mohamad Alqahtani, et al. · Chemical Engineering Science · 11
Rigorous Explainable Artificial Intelligence Models for Predicting CO2–Brine Interfacial Tension: Implications for CO2 Sequestration in Saline Aquifers
2025 · Menad Nait Amar, Mohamed Riad Youcefi, et al. · Energy & Fuels · 10
Drilling vibrations diagnostic through drilling data analyses and visualization in real time application
2021 · Farouk Said Boukredera, Ahmed Hadjadj, et al. · Earth Science Informatics · 10
Improved explainable multi-gene genetic programming correlations for predicting carbon dioxide solubility in various brines
2025 · Mohamed Riad Youcefi, Fahd Mohamad Alqahtani, et al. · Desalination · 9
Data‐driven framework for predicting the sorption capacity of carbon dioxide and methane in tight reservoirs
2024 · Fahd Mohamad Alqahtani, Mohamed Riad Youcefi, et al. · Greenhouse Gases Science and Technology · 8
An efficient super learner model for predicting wettability of the hydrogen/mineral/brine system: Implication for hydrogen geo-storage
2025 · Menad Nait Amar, Mohamed Riad Youcefi, et al. · International Journal of Hydrogen Energy · 7
Real-Time Prediction of Plastic Viscosity and Apparent Viscosity for Oil-Based Drilling Fluids Using a Committee Machine with Intelligent Systems
2021 · Mohamed Riad Youcefi, Ahmed Hadjadj, et al. · Arabian Journal for Science and Engineering · 7
Development of an expert-informed rig state classifier using naive bayes algorithm for invisible loss time measurement
2024 · Mohamed Riad Youcefi, Farouk Said Boukredera, et al. · Applied Intelligence · 5
Accurate prediction of CO2 frosting temperature in natural gas mixtures using explainable data-driven frameworks
2026 · Mohamed Riad Youcefi, Saad Alatefi, et al. · Chemometrics and Intelligent Laboratory Systems · 4
Data-driven modeling of wax solubility in supercritical carbon dioxide and ethane systems
2025 · Mohamed Riad Youcefi, Saad Alatefi, et al. · The Journal of Supercritical Fluids · 4
A simplified integrated asset model for predicting liquid loading in gas wells with aquifer water influx
2025 · Zakarya Belimane, Mohamed Riad Youcefi, et al. · Advances in Water Resources · 3
Robust group intelligent models for predicting hydrogen density and viscosity: Implication for hydrogen production, transportation, and storage
2025 · Fahd Mohamad Alqahtani, Mohamed Riad Youcefi, et al. · Journal of the Taiwan Institute of Chemical Engineers · 3
Predicting the viscosity of hydrogen – methane blends at high pressure for hydrogen transportation and geo-storage: Integration of robust white-box machine learning frameworks
2025 · Saad Alatefi, Mohamed Riad Youcefi, et al. · Digital Chemical Engineering · 1
Evaluation of Hybrid Prediction Models for Accurate Rate of Penetration (ROP) Prediction in Drilling Operations
2023 · Abdelhakim Khouissat, Dr. Mohamed Riad Youcefi, et al. · AAPG Rocky Mountain Section Annual Meeting · 1
Data-driven and explainable modeling of hydrogen sulfide hydrate dissociation in aqueous electrolyte solutions
2026 · Mohamed Riad Youcefi, Saad Alatefi, et al. · Chemometrics and Intelligent Laboratory Systems
Reliable modeling of sulfur solubility in sour gas mixtures using advanced ensemble learning frameworks
2026 · Mohamed Riad Youcefi, Saad Alatefi, et al. · Unconventional Resources
Predicting viscosity of CO2–CH4 binary mixtures using robust white-box machine learning frameworks: implication for carbon capture, utilization, and storage
2025 · Saad Alatefi, Mohamed Riad Youcefi, et al. · Journal of Petroleum Exploration and Production Technology
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Integrating metaheuristic optimization algorithms and modified integral resonant control to minimize stick-slip oscillations
2025 · Mohamed Riad Youcefi, Farouk Said Boukredera, et al. · Journal of Sound and Vibration
Works count: 26
Citation count: 247
H-index: 10
I10-index: 10
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