The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
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. Enjoyable
Develop measurable skills and capabilities
During this five-day course, you will learn how OLGA dynamic multiphase flow simulator is used to understand and solve typical flow assurance challenges.
This interactive and practical course includes step-by-step instructions to build and run simple transient simulation models. Key operational procedures are covered, like shutdown, start-up and pigging. Best practices and workflows are also presented for liquid and hydrate management, slugging recognition and mitigation, and fluid handling in OLGA.
The last two days are focused on advanced OLGA workflows to model separators, controllers, and how to model thermal interactions between pipes and surroundings.
All the main features of the OLGA GUI are covered, allowing you to easily build, edit and run models, create parametric studies, and view the results.
Anyone interested in gaining a general understanding of OLGA dynamic multiphase flow simulation to address flow assurance challenges, or beginner to intermediate OLGA users who want to explore OLGA advanced workflows and tools.
No previous experience with OLGA is necessary, but a general knowledge of pipe flow and thermodynamics is an advantage.
Customize your own learning journey and track your progress when you start using a defined learning path.