On the evaluation of the interfacial tension of immiscible binary systems of methane, carbon dioxide, and nitrogen-alkanes using robust data-driven approaches

On the evaluation of the interfacial tension of immiscible binary systems of methane, carbon dioxide, and nitrogen-alkanes using robust data-driven approaches

Gas injection has emerged over the recent decades as a promising technology to enhance oil recovery in various fields worldwide. The efficiency and success of a gas injection operation can be assessed through a number of vital experimental studies. Interfacial Tension (IFT) between the injected gas...

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Bibliographic Details
Main Authors:	Mehdi Mahdaviara, Menad Nait Amar, Mehdi Ostadhassan, Abdolhossein Hemmati-Sarapardeh
Format:	Article
Language:	English
Published:	Elsevier 2022-12-01
Series:	Alexandria Engineering Journal
Subjects:	Natural gas Interfacial tension (IFT) n-alkanes Cascaded Feedforward Neural Network (CFNN) Decision Tree Learning (DT)
Online Access:	http://www.sciencedirect.com/science/article/pii/S111001682200312X

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