Soft sensor solutions for control of oil sands processes

Oil sands development is both a costly and technically complex business with potential concerns in land use, water consumption and greenhouse gas emissions. Therefore, it is of practical interest to further investigate novel techniques to improve profitability while diligently maintaining environmen...

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Veröffentlicht in:Canadian journal of chemical engineering 2013-08, Vol.91 (8), p.1416-1426
Hauptverfasser: Khatibisepehr, Shima, Huang, Biao, Domlan, Elom, Naghoosi, Elham, Zhao, Yu, Miao, Yu, Shao, Xinguang, Khare, Swanand, Keshavarz, Marziyeh, Feng, Enbo, Xu, Fangwei, Espejo, Aris, Kadali, Ramesh
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container_end_page 1426
container_issue 8
container_start_page 1416
container_title Canadian journal of chemical engineering
container_volume 91
creator Khatibisepehr, Shima
Huang, Biao
Domlan, Elom
Naghoosi, Elham
Zhao, Yu
Miao, Yu
Shao, Xinguang
Khare, Swanand
Keshavarz, Marziyeh
Feng, Enbo
Xu, Fangwei
Espejo, Aris
Kadali, Ramesh
description Oil sands development is both a costly and technically complex business with potential concerns in land use, water consumption and greenhouse gas emissions. Therefore, it is of practical interest to further investigate novel techniques to improve profitability while diligently maintaining environmental compliance. Our approach for finding solutions to achieve this objective is to develop innovative strategies for advanced monitoring, optimisation and control of plant operations. Development of reliable process models is a key requirement for investigating the behaviour of complex systems. Such descriptive models can help to improve analysis, simulation, optimisation, design, control and operation of process systems at both micro and macro levels. This paper presents a summary of some of the successful applications focussed on development and implementation of inferential process models, also known as soft sensors for oil sands processes.
doi_str_mv 10.1002/cjce.21833
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source Wiley Online Library
subjects Air pollution
bitumen extraction
Complex systems
Mathematical models
Natural gas
Oil sands
Optimization
Sensors
soft sensor
Water consumption
title Soft sensor solutions for control of oil sands processes
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