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Permanent link (DOI): https://doi.org/10.7939/R3S756T4G

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A Study on System Identification and Input Design for SAGD Reservoirs Open Access

Descriptions

Other title
Subject/Keyword
System Identification
SAGD
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Yao, Song
Supervisor and department
Prasad, Vinay (Chemical and Materials Engineering)
Trivedi, Japan (Civil and Environmental Engineering)
Examining committee member and department
Prasad, Vinay (Chemical and Materials Engineering)
Huang, Biao (Chemical and Materials Engineering)
Trivedi, Japan (Civil and Environmental Engineering)
Okuno, Ryosuke (Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Petroleum Engineering
Date accepted
2014-01-30T14:36:39Z
Graduation date
2014-06
Degree
Master of Science
Degree level
Master's
Abstract
Physics-based large-scale reservoir models are routinely employed in the prediction of the SAGD (Steam Assisted Gravity Drainage) process under different operation situations. However, due to the uncertainty of the reservoir and the limitations of the commercial reservoir simulators, the computational time is highly associate with impractical simulated results for all locations, especially when uncertainty and unexpected operational parameters are included. This thesis develops a system identification proxy model to forecast the SAGD reservoir production. Several combinations of system identification model structures and input datasets are tested for short-term predictions to understand the impact of model structures and input selection on the proxy model performance. Then recursive proxy model estimations are performed to increase the accuracy for long-term production prediction. After trying to improve the model fits for a multiple-step proxy model prediction, a set of input design cases using a simulator-built model are re-identified to test the validity of open-loop simulation by a data-driven proxy model. The data-driven proxy model could be used in reservoir management and optimization or to reduce the computing load.
Language
English
DOI
doi:10.7939/R3S756T4G
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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