Prediction of CO 2 ‐Oil Minimum Miscibility Pressure Using Soft Computing Methods
Author:
Affiliation:
1. Tarbiat Modares UniversityDepartment of Petroleum EngineeringFaculty of Chemical Engineering Tehran Iran
2. Tarbiat Modares UniversityFaculty of Chemical Engineering P.O. Box 14115-143 Tehran Iran
Publisher
Wiley
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ceat.201900411
Reference76 articles.
1. Application of hybrid neural particle swarm optimization algorithm for prediction of MMP
2. Application of mixed kernels function (MKF) based support vector regression model (SVR) for CO2 – Reservoir oil minimum miscibility pressure prediction
3. Prediction of minimum miscibility pressure in oil reservoirs using a modified SAFT equation of state
4. CO2–oil minimum miscibility pressure model for impure and pure CO2 streams
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