PARAMETRIC INVESTIGATION OF HPAM/GO-SIO2 THROUGH EXPERIMENTAL AND MACHINE LEARNING MODELING

KAMARUL AZMAN, MUHAMMAD HAKIM (2021) PARAMETRIC INVESTIGATION OF HPAM/GO-SIO2 THROUGH EXPERIMENTAL AND MACHINE LEARNING MODELING. [Final Year Project] (Submitted)

Text
48_UTP21-3_PE48.pdf
Restricted to Registered users only
Download (2MB)

Abstract

In this paper, we focus on a conventional chemical enhanced oil recovery method, partially hydrolyzed polyacrylamide polymer flooding, augmented by SiO2 and graphene oxide nanoparticles to create a hybrid polymeric nanofluid to observe its effects on reducing interfacial tension in an oil-nanofluid interface.

Item Type:	Final Year Project
Subjects:	Q Science > QE Geology
Departments / MOR / COE:	Engineering > Petroleum Engineering
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	22 Feb 2024 07:56
Last Modified:	22 Feb 2024 07:56
URI:	http://utpedia.utp.edu.my/id/eprint/25645

Actions (login required)

: View Item