Quantitative assessment of wildfire risk in oil facilities

Nima Khakzad*, Mohammad Dadashzadeh, Genserik Reniers

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)

Abstract

Despite frequent occurrence of wildfires around the world, the role of wildfires has rarely been taken into account in risk assessment of process plants in wildlands, especially that large inventory of flammable petroleum products in contact with the heat of wildfire can lead to severe domino effects. We have developed a dynamic risk assessment framework by integrating available models of fire spread and domino effect analysis with online maps of wildfire characteristics such as ignition probability and heat intensity to investigate the impact of wildfires on oil facilities. The framework is modular, so one can readily enhance its accuracy by replacing the current techniques with more sophisticated ones. The application of the methodology is demonstrated on an oil terminal.

Original languageEnglish
Pages (from-to)433-443
Number of pages11
JournalJournal of Environmental Management
Volume223
DOIs
Publication statusPublished - 2018

Keywords

  • Cost-benefit analysis
  • Domino effect
  • Dynamic Bayesian network
  • Natech risk assessment
  • Oil terminal
  • Wildfire

Fingerprint

Dive into the research topics of 'Quantitative assessment of wildfire risk in oil facilities'. Together they form a unique fingerprint.

Cite this