Download the full-sized PDF of Applications of Ensemble Kalman Filter for characterization and history matching of SAGD reservoirsDownload 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

Applications of Ensemble Kalman Filter for characterization and history matching of SAGD reservoirs Open Access


Other title
Geostatistical Reservoir Modeling
Computer Assisted History Matching
Reservoir Characterization
Ensemble Kalman Filter
Steam Assisted Gravity Drainage
Type of item
Degree grantor
University of Alberta
Author or creator
Gul, Ali
Supervisor and department
Trivedi, Japan (Civil and Environmental Engineering)
Examining committee member and department
Gupta, Rajendar (Chemical and Materials Engineering)
Kuru, Ergun (Civil and Environmental Engineering)
Department of Civil and Environmental Engineering

Date accepted
Graduation date
Master of Science
Degree level
Steam-assisted gravity drainage (SAGD) is the most robust thermal recovery process that has unlocked western Canadian heavy oil and bitumen reserves into economical recovery. The prime challenges in SAGD heavy oil developments and well planning in the Northern Alberta formations are: characterizing the reservoir heterogeneity and identifying the potential steam barriers that may interfere with the recovery process. If characterized earlier, the field development plans could be efficient and effective. In SAGD projects, temperature sensors at several depths within observation wells are available for monitoring steam chamber growth. Characterization using data available from these real-time sensors and dynamic production data integrated in a closed-loop could be a probable solution. Ensemble Kalman filter (EnKF), a state and parameter estimation technique, has shown good promise for reservoir characterization using dynamic production data in conventional reservoirs. For the above discussed problem, constrained based adaptive EnKF approach was implemented.
License granted by Ali Gul ( on 2011-09-27T20:01:23Z (GMT): 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 the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein 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

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: 3735724
Last modified: 2015:10:12 20:59:46-06:00
Filename: Gul_Ali_Fall 2011.pdf
Original checksum: abdffc6cda36a6ee94ac340aa578307e
Well formed: true
Valid: true
File author: Ali Gul
Page count: 129
File language: en-CA
Activity of users you follow
User Activity Date