Download the full-sized PDF of Optimization of steam/solvent injection methods: Application of hybrid techniques with improved algorithm configurationDownload the full-sized PDF



Permanent link (DOI):


Export to: EndNote  |  Zotero  |  Mendeley


This file is in the following communities:

Graduate Studies and Research, Faculty of


This file is in the following collections:

Theses and Dissertations

Optimization of steam/solvent injection methods: Application of hybrid techniques with improved algorithm configuration Open Access


Other title
genetic algorithm
Optimization of heavy-oil recovery
Optimization of bitumen recovery
response surface methodology proxy
SOS-FR (Steam-over-solvent injection in fractured reservoirs)
hybrid optimization framework
optimized genetic algorithm
nearly orthogonal arrays
global optimization
solvent injection thermal
simulated annealing
Type of item
Degree grantor
University of Alberta
Author or creator
Algosayir, Muhammad M
Supervisor and department
Babadagli,Tayfun (Civil and Environmental Engineering)
Leung, Juliana (Civil and Environmental Engineering)
Examining committee member and department
Leung, Juliana (Civil and Environmental Engineering)
Bouferguene, Ahmed (Campus Saint Jean)
Babadagli,Tayfun (Civil and Environmental Engineering)
Dehghanpour, Hassan (Civil and Environmental Engineering)
Department of Civil and Environmental Engineering
Petroleum Engineering
Date accepted
Graduation date
Master of Science
Degree level
Heavy oil and bitumen recovery processes need to be optimized in order to increase the recovery, reduce costs, and minimize the environment impact. Most of the optimization studies published in petroleum engineering literature focus on a few design parameters by combining the elements of numerical flow simulation with graphical or analytical techniques. Limited efforts, particularly in the areas of enhanced heavy oil recovery design, combine global optimization techniques with flow simulation to achieve better performance and design. The challenge remains because of high computational costs and slow convergence efficiency of the algorithms. In this research, genetic algorithm and simulated annealing are considered first as a single optimization technique. Then, the hybridization of these with the orthogonal arrays and response surface proxy techniques are tested. Savings up to 85% on the execution time are obtained for steam and solvent applications in oilsands and fractured carbonates.
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.
Citation for previous publication
Al-Gosayir, M., Babadagli, T., and Leung, J. 2011. Optimization of Solvent Additive SAGD Applications using Hybrid Optimization Techniques. Paper 144963 presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, Malaysia, 19–21 July.Al-Gosayir, M., Leung, J., and Babadagli, T., 2011b. Design of Solvent-Assisted SAGD Processes in Heterogeneous Reservoirs Using Hybrid Optimization Techniques. Paper 149010 presented at the Canadian Unconventional Resources Conference, Calgary, Canada, 15–17 November. DOI: 10.2118/149010-MS.

File Details

Date Uploaded
Date Modified
Audit Status
Audits have not yet been run on this file.
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 2293891
Last modified: 2015:10:12 14:35:48-06:00
Filename: Algosayir_Muhammad_Fall 2012.pdf
Original checksum: 2908c7e3bc93f40f2c2794bf2d5405c1
Well formed: true
Valid: true
File author: Mmm
Page count: 114
File language: en-CA
Activity of users you follow
User Activity Date