Predicting and optimizing CO2 foam performance for enhanced oil recovery: A machine learning approach to foam formulation focusing on apparent viscosity and interfacial tension

Author:

Iskandarov Javad,Ahmed Shehzad,Fanourgakis George S.,Alameri Waleed,Froudakis George E.,Karanikolos Georgios N.ORCID

Funder

Khalifa University of Science, Technology and Research

Publisher

Elsevier BV

Reference57 articles.

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3. Mixed CO2/N2 foam for EOR as a novel solution for supercritical CO2 foam challenges in sandstone reservoirs;Abdelaal;ACS Omega,2020

4. Rheological behavior of scCO2-Foam for improved hydrocarbon recovery: experimental and deep learning approach;Ahmed;J. Petrol. Sci. Eng.,2021

5. Recent developments and updated screening criteria of enhanced oil recovery techniques;Aladasani;All Days,2010

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