Machine learning model to predicting synergy of ultrasonication and solvation impacts on crude oil viscosity

Machine learning model to predicting synergy of ultrasonication and solvation impacts on crude oil viscosity

Abstract The growing energy demand is attracting a lot of interest in heavy crude oil. While various conventional methods have been employed to reduce the viscosity of crude oil, the challenges associated with these techniques have driven researchers to seek economical and environmentally sustainabl...

Full description

Saved in:
Bibliographic Details
Main Authors: Nasir Khan, Mehdi Razavifar, Qazi Adnan Ahmad, Muhammad Siyar, Masoud Riazi, Waqar Khan, Jafar Qajar
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Viscosity reduction
Crude oil
Ultrasonic waves
Random forest regressor
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-14752-z
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-14752-z

Similar Items