DocumentCode
2854855
Title
Research challenges in applying intelligent wireless sensors in the oil, gas and resources industries
Author
Talevski, Alex ; Carlsen, Simon ; Petersen, Stig
Author_Institution
DEBII, Curtin Univ., Perth, WA, Australia
fYear
2009
fDate
23-26 June 2009
Firstpage
464
Lastpage
469
Abstract
The monitoring of oil, gas and resources plant performance and the operational environment through sensors allows for greater insight into potential safety problems and operational requirements. Such solutions promote a safe and healthy work environment for all stakeholders and optimized operations. Intelligent techniques and the monitoring of key historical operational properties can be used to realize certain characteristics and patterns in operation data. Such solutions may enhance operational visualization, foresight, forecasting and maintenance schedules for effective and efficient operation and maintenance. This optimizes plant safety, production, turnarounds, shutdowns and maintenance and improves error tolerance and recovery. However, the development of robust devices that are able to perform in these remote and hostile requirements along with the intelligent solutions to structure, store, process and retrieve this information are difficult to realize. This paper investigates the use of wireless sensors and the related intelligent solutions in the oil, gas and resource industries.
Keywords
gas industry; intelligent sensors; petroleum industry; safety; wireless sensor networks; error tolerance; gas industry; intelligent wireless sensors; oil industry; operational visualization; plant safety; resources industry; Data visualization; Gas detectors; Gas industry; Intelligent sensors; Job shop scheduling; Monitoring; Petroleum; Safety; Sensor phenomena and characterization; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
Conference_Location
Cardiff, Wales
ISSN
1935-4576
Print_ISBN
978-1-4244-3759-7
Electronic_ISBN
1935-4576
Type
conf
DOI
10.1109/INDIN.2009.5195848
Filename
5195848
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