Abstract
Safety instrumented systems (SISs) implemented on petroleum installations must be highly reliable to protect human life and environment. As of today, monitoring and follow-up of technical status of SIS components require considerable manual effort by extracting and interpreting maintenance and failure data from various systems and sources. Digitalization and increased automation may provide more cost-effective solutions for data collection and thereby provide more time for assessment and implementation of long-term reliability improvement measures. The collection of maintenance and failure data is often subject to concerns about the adequacy, quality, and uncertainty of the data. An important starting point for addressing these concerns is to ensure that failures are registered in a consistent way, with a high level of precision about failure mode, detection method, and failure cause. This paper provides guidance on how to report and classify failure data for follow-up of safety-integrity level (SIL) and possible automation. Suggested standardized taxonomies are given, e.g. by reducing possible choices in reporting and classification. The paper also briefly discusses possible automation possibilities related to failure reporting and classification