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Our Stories
A collection of our Blogs, Articles, and Whitepapers
Adapting to the Unexpected: Process Safety Management from Afar
When the COVID-19 pandemic began, many plant sites minimized on-site staff to essential personnel, and restrictions prevented in-person...
Challenging Safety Metrics in Process Industries: A Bayesian Perspective on Layer of Protection Analysis (LOPA)
The process industry uses Layer Of Protection Analysis (LOPA) to document extremely small probabilities for catastrophic events....
How to Design for Effective Situation Awareness and Operator Response to Abnormal Situations
Kahneman has written about fast and unconscious thinking (a.k.a. system 1), versus conscious and slow thinking (a.k.a. system 2). We use...
IPL/CMS- Integrity Management of Non-SIS Independent Protection Layers after the LOPA
This paper discusses the identification, selection, implementation and management of Non-SIF IPLs through the process lifecycle.
Functional Safety Specialists May be Stuck in the Past – Do our SIL calculations Reflect Reality?
Functional safety specialists may be stuck in the past and doing industry a disservice. The current industry trend is to only consider rando
Reducing Systematic Failures - Process Safety Management PSM
The benefit of such studies is that it’s easier and less expensive to make necessary changes to systems while the design is still on paper.
The Use of Bayesian Networks in Functional Safety
Functional Safety & Bayesian Networks Functional safety engineers fol low the ISA/IEC 61511 standard & perform calculations based on...
What can go wrong with a functional safety assessment, and how to ensure one goes smoothly?
What might go wrong with an FSA, and what might you do to ensure that an FSA runs smoothly?
How About a Stage Zero Functional Safety Assessment (FSA)?
Inspired by “Conducting an Effective Functional Safety Assessment” presented at 2019 ISA PIC 2019—Process Industry Conference. by Greg...
A problem (and solution) with estimating rare event frequencies
Industry uses many numbers in process safety associated with predicting the likelihood of rare, catastrophic events (e.g., failure rates, de
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