Modelling minimum miscibility pressure of CO2-crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and enhanced oil recovery
Titel:
Modelling minimum miscibility pressure of CO2-crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and enhanced oil recovery
Auteur:
Lv, Qichao Zheng, Rong Guo, Xinshu Larestani, Aydin Hadavimoghaddam, Fahimeh Riazi, Masoud Hemmati-Sarapardeh, Abdolhossein Wang, Kai Li, Junjian