Machine learning-based estimation of crude oil-nitrogen interfacial tension

Machine learning-based estimation of crude oil-nitrogen interfacial tension

Abstract Accurate estimation of interfacial tension (IFT) between nitrogen and crude oil during nitrogen-based gas injection into oil reservoirs is imperative. The previous research works dealing with prediction of IFT of oil and nitrogen systems consider synthetic oil samples such n-alkanes. In thi...

Full description

Saved in:
Bibliographic Details
Main Authors: Safia Obaidur Rab, Subhash Chandra, Abhinav Kumar, Pinank Patel, Mohammed Al-Farouni, Soumya V. Menon, Bandar R. Alsehli, Mamata Chahar, Manmeet Singh, Mahmood Kiani
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Crude oil – Nitrogen IFT
Machine learning
Sensitivity analysis
Outlier detection
Online Access:https://doi.org/10.1038/s41598-025-85106-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-85106-y

Similar Items