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Permanent link (DOI): https://doi.org/10.7939/R3CG84

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

Descriptions

Other title
Subject/Keyword
Geostatistical Reservoir Modeling
Computer Assisted History Matching
Reservoir Characterization
Ensemble Kalman Filter
Steam Assisted Gravity Drainage
Type of item
Thesis
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
Department of Civil and Environmental Engineering
Specialization

Date accepted
2011-09-28T04:41:03Z
Graduation date
2011-11
Degree
Master of Science
Degree level
Master's
Abstract
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.
Language
English
DOI
doi:10.7939/R3CG84
Rights
License granted by Ali Gul (agul@ualberta.ca) 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.
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