A data driven predictive viscosity model for the microemulsion phase

Abstract The changes in phase viscosity at the oil-brine interface due to surfactant addition are critical under practical reservoir conditions. This study develops a computational, data-driven model to accurately estimate and predict peak phase viscosity in microemulsion systems at dynamic environm...

Full description

Saved in:
Bibliographic Details
Main Authors: Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-97322-7
Tags: Add Tag
No Tags, Be the first to tag this record!