Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids. - Shadfar Davoodi; Mohammad Mehrad; David A. Wood 003; Hamzeh Ghorbani; Valeriy S. Rukavishnikov (Eng. Appl. Artif. Intell., 2023)

Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites. - Shadfar Davoodi; Hung Vo Thanh; David A. Wood 003; Mohammad Mehrad; Valeriy S. Rukavishnikov; Zhenxue Dai (Expert Syst. Appl., 2023)

Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations. - Shadfar Davoodi; Hung Vo Thanh; David A. Wood 003; Mohammad Mehrad; Valeriy S. Rukavishnikov (Appl. Soft Comput., 2023)

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 003; Mohammad Mehrad; Mohammed Al-Shargabi; Valeriy S. Rukavishnikov (Expert Syst. Appl., 2024)

Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids. - Shadfar Davoodi; Hung Vo Thanh; David A. Wood 003; Mohammad Mehrad; Mohammad Reza Hajsaeedi; Valeriy S. Rukavishnikov (J. Ind. Inf. Integr., 2024)