Modeling interfacial tension of surfactant–hydrocarbon systems using robust tree-based machine learning algorithms

Abstract Interfacial tension (IFT) between surfactants and hydrocarbon is one of the important parameters in petroleum engineering to have a successful enhanced oil recovery (EOR) operation. Measuring IFT in the laboratory is time-consuming and costly. Since, the accurate estimation of IFT is of par...

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Bibliographic Details
Main Authors: Ali Rashidi-Khaniabadi, Elham Rashidi-Khaniabadi, Behnam Amiri-Ramsheh, Mohammad-Reza Mohammadi, Abdolhossein Hemmati-Sarapardeh
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-37933-0