Nait Amar Menad

Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration

Nait Amar Menad, Abdolhossein Hemmati‐Sarapardeh, Amir Varamesh et al. · Journal of CO2 Utilization · 2019 · 177 citations

Carbon Sequestration, Carbonization, Engineering +6

Modeling temperature-based oil-water relative permeability by integrating advanced intelligent models with grey wolf optimization: Application to thermal enhanced oil recovery processes

Nait Amar Menad, Noureddine Zeraibi, Abdolhossein Hemmati‐Sarapardeh et al. · Fuel · 2019 · 65 citations

Petroleum Machinery, Chemical Enhanced Oil Recovery, Engineering +11

An efficient methodology for multi-objective optimization of water alternating CO2 EOR process

Nait Amar Menad, Noureddine Zeraibi · Journal of the Taiwan Institute of Chemical Engineers · 2019 · 61 citations

Process Integration, Process Design, Chemical Engineering +10

Modeling minimum miscibility pressure of pure/impure CO2-crude oil systems using adaptive boosting support vector regression: Application to gas injection processes

Atefeh Dargahi-Zarandi, Abdolhossein Hemmati‐Sarapardeh, Mohammadhadi Shateri et al. · Journal of Petroleum Science and Engineering · 2019 · 57 citations

Petroleum Reservoir, Petroleum Machinery, Engineering +7

Hybrid soft computational approaches for modeling the maximum ultimate bond strength between the corroded steel reinforcement and surrounding concrete

Mohamed El Amine Ben Seghier, Hocine Ouaer, Mohammed Abdelfetah Ghriga et al. · Neural Computing and Applications · 2020 · 51 citations

Steel Reinforcement, Engineering, Corrosion +10