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Permanent link (DOI): https://doi.org/10.7939/R37985

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MODELLING THE RHEOLOGY OF COMPLEX FLUIDS : Cases of Bitumen and Heavy Oils at low temperatures. Open Access

Descriptions

Other title
Subject/Keyword
complex fluids
Structural Kinetics Model
fictive temperature
Viscosity
Rheology
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Dion, Moïse
Supervisor and department
Dr. John SHAW (Chemical and Materials Engineering Department)
Examining committee member and department
Dr. Jos Derksen (Chemical and Materials Engineering)
Dr. Sean Sanders (Chemical and Materials Engineering)
Dr. Carlos Lange (Mechanical Engineering)
Department
Department of Chemical and Materials Engineering
Specialization

Date accepted
2011-08-23T15:41:55Z
Graduation date
2011-11
Degree
Master of Science
Degree level
Master's
Abstract
As complex fluids such as heavy oil or bitumen pass from the field to process units, structural and compositional changes occur that are intimately linked with pressure (P), temperature (T), and shear histories. In this exploratory work, a modified Structural Kinetics Model is used to calculate the apparent shear viscosity of three complex fluids: Maya Crude Oil (MCO), Athabasca Bitumen (AB) and Safaniya Heavy Oil (SP) and their related nano-filtered fractions (permeates and retentates) at low temperatures. The proposed model involves a structural parameter λ that tracks the mechanical history of these fluids and a temperature shift factor aTP that integrates the thermal history, through the usage of the concept of fictive temperature Teff inside a modified Williams Landel Ferry (WLF) equation. Rheological data for the feedstocks were divided into a training data set, used to fit model parameters, and an extrapolation data set, used to test the asymptotic behaviour of the model with respect to temperature and shear history. Rheological data for the nano-filtered permeates and retentates, with varying mass fractions of structured phase, comprised a prediction data set. Average absolute deviations (AAD) less than 15% and R2 values approaching unity were obtained for the prediction data set. AAD values were less than 4 % for the training and less than 10 % for the extrapolation data sets. The modified Structure-Kinetics Model offers insights, as well as flexibility and accuracy for simulating heavy oil and bitumen rheological properties under conditions where these fluids are structured.
Language
English
DOI
doi:10.7939/R37985
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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