Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis

Author:

F. Al-Khafaji Harith,Meng Qingbang,Hussain Wakeel,Khudhair Mohammed Rudha,Harash Fayez,Alshareef AlFakey Salah

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference88 articles.

1. Machine Learning for Prediction of CO2 Minimum Miscibility Pressure;Shakeel;SPE J Sci Eng,2023

2. Nanoconfined Water Effect on CO2 Utilization and Geological Storage;Zhang;Geophys Res Lett,2020

3. Critical review of field EOR projects in shale and tight reservoirs;Sheng;J Pet Sci Eng,2017

4. Oil and gas pathway to net-zero: Review and outlook;Wang;Energ Strat Rev,2023

5. An optimization methodology of alkaline–surfactant–polymer flooding processes using field scale numerical simulation and multiple surrogates;Zerpa;J Pet Sci Eng,2005

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