NOTICE:
All information contained in this Success Story was communicated to Risk Alive from real users in real-world situations. Names and process details have been removed for confidentiality.
Real-world Context:
Industry: | Downstream Oil/Gas |
Facility: | Refinery |
User Role: | Refinery Process Safety Lead |
Carl's facility has been using Risk Alive for more than 1 year and approximately 80% of the facility processing units have been captured with analytics in the platform.
Why?
Using analytics, Carl identified multiple similar high-risk causes across five (5) processing units in his facility.
Each of these causes could result in Gas Blow Through scenarios with catastrophic failure of a single vessel, potential toxic H2S release, and potential fatalities.
Through his years of industry experience, Carl intuitively knew that these scenarios contributed to a significant risk at his facility and that making a change would bring the facility to a safer operating state.
In order to back-up his intuition with data, Carl decided to use Risk Alive to put together a risk-based business case to justify a change and seek approval from Leadership at his facility.
How?
Using Unit Comparison analytics, Carl observed that similar gas blow through scenarios were also identified by industry peers. He noted that industry peers had mitigated these scenarios using either higher vessel design pressure or an adequately sized pressure relief system.
Using multi-PHA Analytics Data View, Carl used the key phrase "Gas Blow Through" to filter and aggregate all gas blow through scenarios from five (5) PHAs into a single view.
Using the "Export" feature within the Critical Top 3 module, Carl was able to compare the criticality of causes (before/after consideration of safeguards) leading to gas blow through scenarios vs. criticality of ALL causes identified across his facility.
Using the multi-PHA Safeguard Ranking module, Carl was able to compare the criticality of safeguards protecting against gas blow through scenarios vs. criticality of ALL safeguards at his facility.
What?
Using the "Export" feature within the Critical Top 3 module, Carl noted that only 1% of ALL the causes identified across his facility led to gas blow through scenarios.
These causes leading to gas blow through scenarios accounted for ~30% of the Total Risk at his facility (after consideration of safeguards).
Using the multi-PHA Safeguard Ranking module, Carl noted that only 1% of ALL the safeguards identified across his facility provided protection against gas blow through scenarios.
These safeguards protecting against gas blow through scenarios accounted for ~30% of the Total Risk Reduction Contribution from ALL safeguards at his facility.
Carl presented these analytics results to the Leadership team at his facility and obtained approval to work on evaluation of risk mitigation strategies for these high impact gas blow through scenarios.