Asset Data Management for the Oil and Gas Industry

What are the Goals?

At the end of this Asset Data Management for Oil and Gas Industry training course, you:

• Have insight into and awareness of Asset Data Management in projects and the operate & maintain phase of an asset
• Understand the broader context of Asset Data Management, as part of an Asset Management Information System (AMIS)
• Can set up an asset information strategy
• Understand how asset data is being built with the application of Systems Engineering and RAMS
• Understand the impact of a risk-based maintenance reference plan on asset data
• Apply the best practices of Asset Data Management
• Can set up an improvement plan for asset information

Who is this Training Course for?

This Asset Data Management for Oil and Gas Industry training course is suitable to a wide range of professionals who would like to get acquainted to Asset Data Management, but will greatly benefit: 

• Asset managers
• Asset & maintenance professionals
• Project engineers
• Project managers
• Maintenance & reliability engineers
• Maintenance managers

Daily Agenda

Day One: Asset Management

• The business impact of Asset Management
• The Asset Management triangle
• Asset Management scope & definitions
• ISO 55000 series: The international standard on Asset Management
• Asset Management reference model – Good practice
• Asset information & informed decision-making
• How does Asset Data Management fit in Asset Management?

Day Two: Asset Management Information System (AMIS) 

• Function of information management in all phases of the Asset Life Cycle
• Asset information in projects vs operate & maintain
• Enterprise-level functional requirements & business model based on Asset Management reference model
• IT-systems overlay
• System Architecture, dataflow, and interfaces
• Asset information strategy
• Information-gathering tools
• Computerized Maintenance Management Systems (CMMS) and Enterprise Asset Management Systems (EAMS)

Day Three: Systems Engineering & RAMS Approach 

• Basic steps of Systems Engineering
• V-model
• Asset information requirements in the different phases
• RAMS analysis
• Asset information transfer from project to maintain
• Store asset information in the CMMS/EAMS
• Impact of recent developments like Building Information Model (BIM) and Digital Twins

Day Four: Risk Based Maintenance

• Introduction to risk – From company values to risk management
• The maintenance reference plan as a basis for your maintenance data
• The 8 steps of Risk Based Maintenance strategy
• Choosing the right maintenance task
• Condition Based Maintenance (Predictive maintenance)
• Spare parts
• Decision support tools for optimization
• Feeding the CMMS/EAMS

Day Five: Monitoring & Learning 

• Configuration management
• Change Control Board
• Analyzing asset data – monitoring the right issues
• Root Cause Analysis (RCA)
• Asset Health Indicators
• Dashboards
• Improvement plan