Course description
A practitioner-focused course that shows participants how to understand, design, implement, and maintain an Environmental Management System aligned with ISO 14001:2026. The course follows the PDCA model and translates the requirements of ISO 14001 into practical actions that organizations can apply to improve environmental performance, meet compliance obligations, reduce environmental risks, and support sustainability goals.
Participants will learn how to determine organizational context, identify relevant interested parties, define the EMS scope, establish environmental policy and objectives, evaluate environmental aspects and impacts, address risks and opportunities, and develop practical operational controls. The course also explains how to manage documented information, competence, awareness, internal and external communication, emergency preparedness, monitoring and measurement, evaluation of compliance, internal audits, management review, nonconformity, corrective action, and continual improvement.
Special attention is given to the 2026 revision, including stronger alignment with the latest ISO management system structure, clearer expectations around environmental conditions, climate change, biodiversity, ecosystem health, compliance obligations, life cycle perspective, risk-based planning, and integration with other systems such as ISO 9001, ISO 45001, and ISO 50001.
What you’ll learn
By the end of this course, participants will be able to:
- Map ISO 14001:2026 clauses to the PDCA cycle and organizational processes
- Define the scope of an Environmental Management System using context, interested parties, compliance obligations, activities, products, services, and life cycle influence
- Identify environmental aspects, impacts, significant aspects, and related risks and opportunities
- Develop or improve an environmental policy, environmental objectives, targets, indicators, and action plans
- Understand compliance obligations and how to integrate legal and other requirements into the EMS
- Apply life cycle perspective to procurement, design, operations, delivery, use, and end-of-life considerations
- Establish operational controls for significant environmental aspects and outsourced processes
- Plan emergency preparedness and response arrangements for environmental incidents
- Manage competence, awareness, communication, and documented information
- Monitor and evaluate environmental performance using practical indicators and evidence
- Prepare for evaluation of compliance, internal audits, management review, corrective action, and continual improvement
- Understand the key transition considerations from ISO 14001:2015 and ISO 14001:2015/Amd 1:2024 to ISO 14001:2026
Who should attend
- Environmental managers, coordinators, and specialists
- HSE, EHS, ESG, sustainability, and compliance professionals
- Operations, facilities, maintenance, project, and procurement managers
- Quality and integrated management system managers
- Internal auditors and implementation team members
- Consultants supporting EMS implementation or transition projects
- Executives and managers responsible for environmental performance, compliance, risk, or sustainability reporting
- Organizations preparing to implement, update, integrate, or certify an Environmental Management System
Recommended background
- Basic understanding of environmental issues, regulations, and organizational operations
- Familiarity with ISO management system concepts or PDCA is helpful but not required
- Prior exposure to ISO 9001, ISO 45001, ISO 50001, or internal auditing is useful for participants working with integrated systems
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
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Explain the purpose, scope and key concepts of ISO 14224:2016 in the petroleum, petrochemical and natural gas industries.
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Interpret ISO 14224 terminology, equipment taxonomy and boundary definitions for typical onshore and offshore assets.
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Classify and code failures, failure modes and maintenance actions using ISO 14224 categories.
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Specify minimum data requirements and evaluate data quality (completeness, consistency, accuracy and traceability).
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Design an ISO 14224-aligned data model and map it to existing CMMS, EAM or ERP systems.
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Use standardized reliability and maintenance data to support RAM studies, KPIs and performance benchmarking.
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Apply ISO 14224 data for risk-based maintenance planning, integrity management and continuous improvement.
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Develop a practical implementation roadmap for introducing or enhancing ISO 14224 data practices in your organization.
Who Should Attend
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Reliability, maintenance and integrity engineers in petroleum, petrochemical and natural gas sectors
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Asset, operations and production managers responsible for equipment uptime and performance
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Maintenance planners, CMMS/EAM administrators and asset data specialists
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HSE, risk and process safety engineers using failure and incident data
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Project and design engineers involved in RAM and lifecycle cost studies
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OEM and vendor engineers supporting installed equipment and service agreements
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Data analysts working with industrial reliability and maintenance datasets
Recommended
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Basic understanding of petroleum, petrochemical or natural gas facilities and equipment types
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Familiarity with core maintenance concepts (corrective, preventive, predictive and risk-based maintenance)
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Introductory knowledge of reliability engineering or RAM metrics (e.g., MTBF, availability)
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Experience with a CMMS, EAM or similar maintenance/asset management system
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Working knowledge of spreadsheets or basic data analysis tools for handling maintenance and failure data
