Course Description

This course introduces ISO 14224:2016 as the global reference framework for collecting, structuring and exchanging reliability and maintenance data for equipment in petroleum, petrochemical and natural gas operations. Participants learn the standard’s terminology, equipment taxonomy, failure and maintenance categories, and data quality expectations. Using practical examples and short exercises, the course shows how to convert raw maintenance and failure records into ISO 14224-compliant datasets. Emphasis is placed on applying standardized data to support reliability, availability, and maintainability (RAM) studies, risk-based maintenance, benchmarking, and the continual improvement of safety, environmental performance, and lifecycle asset management decisions in complex facilities and field operations.

What You Will Learn

• Explain the purpose, scope and key concepts of ISO 14224:2016 in the petroleum, petrochemical and natural gas industries.

• Interpret ISO 14224 terminology, equipment taxonomy and boundary definitions for typical onshore and offshore assets.

• Classify and code failures, failure modes and maintenance actions using ISO 14224 categories.

• Specify minimum data requirements and evaluate data quality (completeness, consistency, accuracy and traceability).

• Design an ISO 14224-aligned data model and map it to existing CMMS, EAM or ERP systems.

• Use standardized reliability and maintenance data to support RAM studies, KPIs and performance benchmarking.

• Apply ISO 14224 data for risk-based maintenance planning, integrity management and continuous improvement.

• Develop a practical implementation roadmap for introducing or enhancing ISO 14224 data practices in your organization.

Who Should Attend

• Reliability, maintenance and integrity engineers in petroleum, petrochemical and natural gas sectors

• Asset, operations and production managers responsible for equipment uptime and performance

• Maintenance planners, CMMS/EAM administrators and asset data specialists

• HSE, risk and process safety engineers using failure and incident data

• Project and design engineers involved in RAM and lifecycle cost studies

• OEM and vendor engineers supporting installed equipment and service agreements

• Data analysts working with industrial reliability and maintenance datasets

Recommended

• Basic understanding of petroleum, petrochemical or natural gas facilities and equipment types

• Familiarity with core maintenance concepts (corrective, preventive, predictive and risk-based maintenance)

• Introductory knowledge of reliability engineering or RAM metrics (e.g., MTBF, availability)

• Experience with a CMMS, EAM or similar maintenance/asset management system

• Working knowledge of spreadsheets or basic data analysis tools for handling maintenance and failure data