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Automated Intelligent Emergency Assessment of GTA Pipeline Events

[+] Author Affiliations
Ali Asgary, Alireza Ghaffari, Albert Kong

York University, Toronto, ON, Canada

Paper No. IPC2010-31006, pp. 413-419; 7 pages
doi:10.1115/IPC2010-31006
From:
  • 2010 8th International Pipeline Conference
  • 2010 8th International Pipeline Conference, Volume 3
  • Calgary, Alberta, Canada, September 27–October 1, 2010
  • Conference Sponsors: International Petroleum Technology Institute and the Pipeline Division
  • ISBN: 978-0-7918-4422-9 | eISBN: 978-0-7918-3885-3
  • Copyright © 2010 by ASME

abstract

The risks to the local population, infrastructure and the environment posed by fluid spills associated with oil and gas pipelines running throughout the Greater Toronto Area (GTA) are evaluated using fuzzy inference rules encoded using JESS and fuzzy J. The evaluation uses data obtained in real time from web services, such as weather, Geographic Information Systems (GIS), for example, distances of event from emergency services and Supervisory Control and Data Acquisition (SCADA) systems, where available. These risks are diverse depending on the local infrastructure or lack thereof (in the case of the environment) indicated by the zoning of the area of the spill, population densities and other factors. The application uses an advanced Human Machine Interface (HMI) accessible via Hypertext Transfer Protocol (HTTP) from anywhere on the Web. It is intended to support decision making in emergency response scenarios.

Copyright © 2010 by ASME
Topics: Pipelines

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