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UBC Theses and Dissertations
Evaluation of equipment reliability, availability and maintainability in an oil sands processing plant Du, Junrong
Abstract
The oil sands industry is a developing sector of Canada’s economy; one area of focus for oil sands companies is to improve plant maintenance and overall plant availability. Although considerable progress has been made in the improvement of plant maintenance in other industries, oil sands and mining companies in general do not significantly benefit from this due to variable feed supply that impacts plant performance. As well historically for mining maintenance has not been done well. The work presented in this thesis develops a framework for understanding oil sands processing plant key equipment failures by utilizing data collected over two years at Albian Sands Energy Inc, an operator of an oil sands mine in Alberta, Canada. The data is used to calculate mean time between maintenance for key pieces of oils sand processing equipment. As well various statistical techniques are applied to the data to identify the best maintenance strategies for the site. Finally the efficacy of advanced statistical techniques, such as Power Law modeling, for predicting time to next failure for equipment is demonstrated.
Item Metadata
Title |
Evaluation of equipment reliability, availability and maintainability in an oil sands processing plant
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2008
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Description |
The oil sands industry is a developing sector of Canada’s economy; one area of focus for
oil sands companies is to improve plant maintenance and overall plant availability.
Although considerable progress has been made in the improvement of plant maintenance
in other industries, oil sands and mining companies in general do not significantly benefit
from this due to variable feed supply that impacts plant performance. As well historically
for mining maintenance has not been done well.
The work presented in this thesis develops a framework for understanding oil sands
processing plant key equipment failures by utilizing data collected over two years at
Albian Sands Energy Inc, an operator of an oil sands mine in Alberta, Canada. The data
is used to calculate mean time between maintenance for key pieces of oils sand
processing equipment. As well various statistical techniques are applied to the data to
identify the best maintenance strategies for the site. Finally the efficacy of advanced
statistical techniques, such as Power Law modeling, for predicting time to next failure for
equipment is demonstrated.
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Extent |
3375059 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-04-23
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0067176
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2008-05
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Campus | |
Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International