Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery

This paper presents an artificial intelligence-based numerical investigation on the CO2 solubility in live and dead oils for possible CO2-enhanced oil recovery (EOR). A thorough smart modeling was accomplished by utilizing Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural network predictors integrated with seven vigorous optimization algorithms. Furthermore, Group Method of Data Handling (GMDH) approach was manipulated to...