Recent developments in HTHA models now allow the quantitative assessment of HTHA likelihood and risk. This paper will discuss practical considerations and factors which are important in successfully completing a quantitative assessment such as data validation and the importance of sensitivity analysis. Factors such as outlier analysis, instrument validation, how to account for unknown conditions, and evaluation at different critical thresholds in the equipment will be elucidated. The key input parameters will be discussed. Understanding the limitations of available inputs is critical to understanding the usefulness of the analysis. This work builds on work previously presented at the API inspection summit in 2022.

You do not currently have access to this content.