COLLECTION AND EVALUATION OF INDONESIA’S ONSHORE PROCESS SAFETY FAILURES AND ACCIDENTS: A BASIS FOR IMPROVING AND VALIDATING QUANTITATIVE RISK ASSESSMENT

Abstract

Real-world data on onshore process safety failures and accidents offer significant potential as a learning tool for validating and refining Quantitative Risk Assessment (QRA). This paper presents a curated dataset of incidents—sourced from official reports, equipment failure maintenance records, and change management documentation—and a structured methodology for their evaluation. Incidents are classified by industry sector, accident type, and facility age, then analyzed in terms of causes and consequences. By comparing actual events with publictly available failure rate database, the study identifies mismatches and provides evidence-based recommendations for improving hazard recognition and risk estimation. The findings are distilled into case studies designed for use in QRA validation as best practices for embedding incident data into ongoing QRA validation, emphasizing continuous incident database updates as a means to maintain relevance beyond fixed review cycles. The ultimate aim is to support both safer industrial operations and more credible QRA activity.