The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
Industry and client recognition
Best Outreach Program Finalist: WorldOil Awards
Overall Customer Satisfaction Score
Training provider of the year: 2013, 14 and 15
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
This course will provide participants with the modern concepts and techniques in maintenance and reliability engineering. The concepts that will be discussed in this course will create an impact on the maintenance by reducing the equipment downtime through the benefits of regular scheduled preventive maintenance, increasing equipment life, reducing stores inventory, and a reduction in emergency and critical maintenance.
Participants will gain an understanding of how to apply the maintenance and reliability concepts in order to get a well-planned maintenance program that will enhance the productivity in the oilfield. Advanced information processing and reliability based methods will be applied. This will be in order to provide degradation monitoring and prognosis of equipment, components, plants, and assets. The concepts that will be described in this course will be applicable to any subsurface, surface production system, or subsystem.
Reliability Engineering
On the first day participants will learn about the value improving practice, the dependability approach, and reliability engineering models. Integral reliability and human reliability as part of the reliability methodologies will also be covered. The day will end with participants learning about criticality analysis.
Day 2Reliability Methodologies
Day two will focus completely on the discussion of the reliability methodologies: Reliability, Availability, and Maintainability (RAM) analysis, reliability centered maintenance, and Risk Based Inspection (RBI). Real case studies will be covered at the end of each methodology.
Day 3Reliability Methodologies (Cont.)
On the third day participants will learn about the root cause analysis. Cost Risk Optimization (CRO) will also be covered. The day will end with participants learning about the statistics for risk and reliability analysis and the application in maintenance.
Day 4Reliability Analysis
Day four will focus on the reliability analysis. Statistics for risk and reliability analysis, principles of reliability analysis, and reliability analysis for non-repairable items will be covered on this day. Participants will also learn about uncertainty management and the application in maintenance activities.
Day 5RAM Analysis
On the last day the class will shift its focus back to RAM analysis. Participant will learn RAM analysis for repairable items, as well as the sources for RAM analysis. Principles of economic analysis and risk analysis will also be discussed on this day. At the end of the day operational reliability and world class indictors will be discussed in detail.
Operation and maintenance staff, surface facility design and operation engineers, production managers, and maintenance managers.
None.
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