Integrating the API SRA methodology and game theory for improving chemical plant protection

Laobing Zhang, Genserik Reniers, Bin Chen, Xiaogang Qiu

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Abstract

Game theory has been employed in academia to study the improvement of security in chemical plants. Being able to model intelligent interactions between adaptive adversaries and defenders is the main advantage of game theory, while the main criticisms of the usage of game theory is that it is mathematically complicated and that it over-simplifies reality. The ANSI/API standard 780 on Security Risk Assessment for the petroleum and petrochemical industries (abbreviated as the “API SRA methodology”), conversely, provides a systematic approach for obtaining qualitative or semi-quantitative data, and is criticized on its failure at modelling strategic (and intelligent) adversaries. Integration of game theory and the API SRA methodology for improving chemical plant protection is therefore an interesting domain of study. In this paper, the API SRA methodology bridges the gap between “chemical security reality” and “chemical security theory (that is, game theoretic models)”, by providing quantitative inputs for game theoretic models and by reflecting on game theoretic results with respect to industrial practice.

Original languageEnglish
Pages (from-to)8-16
Number of pages9
JournalJournal of Loss Prevention in the Process Industries: the international journal of chemical and process plant safety
Volume51
DOIs
Publication statusPublished - 2018

Keywords

  • ANSI/API standard 780
  • Chemical plant protection
  • Game theory
  • Security risk assessment

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