Operational Status Effect on the Seismic Risk Assessment of Oil Refineries

The operational status of an oil refinery (type and scale of operations that take place at any time instance) largely determines the amount of fuel that is produced, circulated within the facility, and stored in tanks. This status is affected by seasonality, periods of peak or low demand, as well as periods of routine maintenance. However, it is an aspect that is typically neglected even though it stands out among the factors that determine the seismic performance of several critical industrial assets, such as the storage tanks, as well as the consequences of any potential failure. An open-data refinery testbed is employed herein to demonstrate the effect of the refinery’s operational status on the seismic risk estimates. Alternative realistic operational scenarios are developed following typical industry practices and are arranged over a time period between two refinery major maintenance shutdown events. The most probable damage state is selected for each asset to identify the most vulnerable ones. Based on the type and importance of the impacted assets, the potential consequences are determined at the facility level. Resulting estimates are very different if an earthquake strikes during a regular/high/low-demand period, or during a maintenance period. The framework can be utilized to identify the locations within the refinery that may trigger cascading failures and secondary damages, should their assets be damaged by a seismic event. The outcomes can be exploited by stakeholders, risk engineers, and emergency action planners for developing customized and businesslike procedures to enhance the seismic resilience of the facility.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-18
DOI
https://doi.org/10.5281/zenodo.13918557
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
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article

Operational Status Effect on the Seismic Risk Assessment of Oil Refineries

Zenodo (CERN European Organization for Nuclear Research)
Genetic and phenotypic traits in livestock
article

Operational Status Effect on the Seismic Risk Assessment of Oil Refineries

article en

Abstract

The operational status of an oil refinery (type and scale of operations that take place at any time instance) largely determines the amount of fuel that is produced, circulated within the facility, and stored in tanks. This status is affected by seasonality, periods of peak or low demand, as well as periods of routine maintenance. However, it is an aspect that is typically neglected even though it stands out among the factors that determine the seismic performance of several critical industrial assets, such as the storage tanks, as well as the consequences of any potential failure. An open-data refinery testbed is employed herein to demonstrate the effect of the refinery’s operational status on the seismic risk estimates. Alternative realistic operational scenarios are developed following typical industry practices and are arranged over a time period between two refinery major maintenance shutdown events. The most probable damage state is selected for each asset to identify the most vulnerable ones. Based on the type and importance of the impacted assets, the potential consequences are determined at the facility level. Resulting estimates are very different if an earthquake strikes during a regular/high/low-demand period, or during a maintenance period. The framework can be utilized to identify the locations within the refinery that may trigger cascading failures and secondary damages, should their assets be damaged by a seismic event. The outcomes can be exploited by stakeholders, risk engineers, and emergency action planners for developing customized and businesslike procedures to enhance the seismic resilience of the facility.

Zenodo (CERN European Organization for Nuclear Research)
National Technical University of Athens (GR)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Genetic and phenotypic traits in livestock
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