eprintid: 11554
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/15/54
datestamp: 2023-11-10 03:26:04
lastmod: 2023-11-10 03:26:04
status_changed: 2023-11-10 01:15:32
type: article
metadata_visibility: show
creators_name: Akbari, S.
creators_name: Mahmood, S.M.
creators_name: Ghaedi, H.
creators_name: Al-Hajri, S.
title: A new empirical model for viscosity of sulfonated polyacrylamide polymers
ispublished: pub
keywords: Amides; Floods; Oil well flooding; Petroleum reservoir evaluation; Petroleum reservoirs; Regression analysis; Rheology; Sensitivity analysis; Surface properties; Viscosity, 2-acrylamido-2-methylpropane sulfonic acids; Empirical model; Non-linear regression analysis; Polymer characteristics; Polymer concentrations; Response surface methodology; Rheological experiment; Sulfonated polyacrylamide, Design of experiments
note: cited By 19
abstract: Copolymers of acrylamide with the sodium salt of 2-acrylamido-2-methylpropane sulfonic acid-known as sulfonated polyacrylamide polymers-had been shown to produce very promising results in the enhancement of oil recovery, particularly in polymer flooding. The aim of this work is to develop an empirical model through the use of a design of experiments (DOE) approach for bulk viscosity of these copolymers as a function of polymer characteristics (i.e., sulfonation degree and molecular weight), oil reservoir conditions (i.e., temperature, formation brine salinity and hardness) and field operational variables (i.e., polymer concentration, shear rate and aging time). The data required for the non-linear regression analysis were generated from 120 planned experimental runs, which had used the Box-Behnken construct from the typical Response Surface Methodology (RSM) design. The data were collected during rheological experiments and the model that was constructed had been proven to be acceptable with the Adjusted R-Squared value of 0.9624. Apart from showing the polymer concentration as being the most important factor in the determination of polymer solution viscosity, the evaluation of the model terms as well as the Sobol sensitivity analysis had also shown a considerable interaction between the process parameters. As such, the proposed viscosity model can be suitably applied to the optimization of the polymer solution properties for the polymer flooding process and the prediction of the rheological data required for polymer flood simulators. © 2019 by the authors.
date: 2019
publisher: MDPI AG
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067349479&doi=10.3390%2fpolym11061046&partnerID=40&md5=207e57da188ac40e91f74fadbb495718
id_number: 10.3390/polym11061046
full_text_status: none
publication: Polymers
volume: 11
number: 6
refereed: TRUE
issn: 20734360
citation:   Akbari, S. and Mahmood, S.M. and Ghaedi, H. and Al-Hajri, S.  (2019) A new empirical model for viscosity of sulfonated polyacrylamide polymers.  Polymers, 11 (6).   ISSN 20734360