Amrane A

Assadi AA

Bouallouche R

Jaouadi B

Kebir M

Mouni L

Nasrallah N

Nedjhioui M

Tahraoui H

Zhang J

This research aimed to study the effects of individual components on the physicochemicalproperties of systems composed of surfactants, polymers, oils, and electrolytes in order to maximizethe recovery efficiency of kerosene while minimizing the impact on the environment and humanhealth. Four independent factors, namely anionic surfactant sodium dodecylbenzene sulfonate (X1)(SDBS), oil (X2) (kerosene), water-soluble polymer poly(ethylene glycol) (X3) (PEG), and sodiumchloride (X4) (NaCl), were studied using the full factorial design (FFD) model. Four output variables,namely conductivity (Y1), turbidity (Y2), viscosity (Y3), and interfacial tension (IFT) (Y4), were takenas the response variables. All four FFD models have high coefficients of determination and low errors.The developed models were used in a multi-objective optimization (MOO) framework to determinethe optimal conditions. The obtained optimal conditions are X1 = 0.01, X2 = 50, X3 = 5, and X4 = 0.1,with an error of 0.9414 between the predicted and experimental objective function values. This resultshows the efficiency of the model developed and the system used for the recovery of kerosene, whilealso having a positive effect on the protection of the environment

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Designing an Efficient Surfactant–Polymer–Oil–Electrolyte System: A Multi-Objective Optimization Study

Designing an Efficient Surfactant–Polymer–Oil–Electrolyte System: A Multi-Objective Optimization Study

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