Parametric earthquake insurance to compensate the monetary loss resulted by production interrupt at industrial units, case study: Parsian gas refinery

Mehdi Mousavi*, Hamid Zafarani, Abdullah Can Zulfikar, Mehdi Ansari, Arash Ahmadi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study aimed at designing triggering thresholds for parametric insurance mechanisms to transfer the subsequent risk of production interruption—caused by an earthquake—to the insurer. The Parsian gas refinery complex located in Zagros, a seismic-prone area in southern Iran, was investigated as a case study. The whole gas refinery system was divided into separated production paths, and key components were specified in each path. The compatible fragility functions, as well as the recovery functions, were assigned to different components in each production path and were combined with the expected monetary loss related to daily interruption in that path. As a result, a forecast model was obtained as a function of each arbitrary earthquake scenario for the monetary loss of the entire refinery. On the other hand, a synthetic seismic catalog span of 50,000 years was created by taking advantage of a well-known hazard model. The seismic risk function was calculated for the refinery by combining the consequent loss model with the obtained samples of ground motion fields. Insurance triggering threshold parameters were computed in 100- and 1000-year return periods by using an intensity-based approach and minimizing the basis error. Finally, the performance of the existing strong motion acceleration stations was evaluated and more relevant stations that can trigger the loss payment threshold with higher reliability were specified.

Original languageEnglish
Pages (from-to)107-127
Number of pages21
JournalNatural Hazards
Volume115
Issue number1
DOIs
Publication statusPublished - Jan 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature B.V.

Funding

The research conducted by the authors was not funded. Any opinions, findings, conclusions, or recommendations expressed herein are those of the authors and do not necessarily reflect the opinions of others. The authors are grateful to thank Parsian Gas Refining Company, who provided us with the necessary data. The first author gratefully acknowledges the financial support of Arak University during his visit at IIEES (2021-2022).

FundersFunder number
Arak University2021-2022

    Keywords

    • Basis error
    • Business Interruption
    • Loss
    • Monte Carlo simulation
    • Parametric insurance
    • Seismic risk

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