Process Safety & Asset Integrity Key Performance Indicators (PS&AI KPIs): An Operative Model for Strengthening the Asset Safety Barriers

Abstract

Abstract Oil & Gas facilities pose the potential for process safety events with substantial consequences for people, environment, and assets. An Eni’s jointly team comprising HSE professionals, along with experts in production, maintenance, and well operations developed, based on IOGP report 456, a set of lagging and leading Process Safety & Asset Integrity (PS&AI) Key Performance Indicators (KPIs) able to assess the performance against benchmarks aiming at preventing process safety events. This facilitates the identification of strengths and weaknesses, contributing to continuous improvement. The PS&AI KPIs model is based on a tiered pyramid system. Lagging KPIs at the pyramid’s top monitor categorized Process Safety Events (PSEs) based on consequences. Leading KPIs at the base oversee early signal management to identify areas for PSE reduction. The data collected are periodically analyzed with the support of an in-house developed set of algorithms, which comparing individual KPIs to benchmarks, facilitates KPI macro-category analysis and trends. This model analysis is based on a scoring methodology that enables immediate visualization of process safety and asset integrity performance, promoting the dissemination of results at all organizational level. The Eni PS&AI KPI model serves as a powerful tool for operational analysis, offering insights for process enhancements and risk mitigation. With limited industry benchmarks for leading KPIs, the model’s adoption presents an opportunity to establish internal benchmarks. This strategy aligns technical and economic efforts, targeting areas of vulnerability to drive continuous improvement, safeguard the health of the workers, prevent Process Safety Events, minimize production loss, and mitigate reputational impact.