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 |
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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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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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