Prediction of Key Parameters in the Design of CO<sub>2</sub> Miscible Injection via the Application of Machine Learning Algorithms

Prediction of Key Parameters in the Design of CO<sub>2</sub> Miscible Injection via the Application of Machine Learning Algorithms

The accurate determination of key parameters, including the CO<sub>2</sub>-hydrocarbon solubility ratio (Rs), interfacial tension (IFT), and minimum miscibility pressure (MMP), is vital for the success of CO<sub>2</sub>-enhanced oil recovery (CO<sub>2</sub>-EOR) p...

Full description

Bibliographic Details
Main Authors: Mohamed Hamadi, Tayeb El Mehadji, Aimen Laalam, Noureddine Zeraibi, Olusegun Stanley Tomomewo, Habib Ouadi, Abdesselem Dehdouh
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Eng
Subjects:
CO<sub>2</sub>-EOR
solubility
interfacial tension
minimum miscibility pressure
machine learning
Online Access:https://www.mdpi.com/2673-4117/4/3/108

Internet

https://www.mdpi.com/2673-4117/4/3/108

Similar Items