
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.
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Best Outreach Program Finalist: WorldOil Awards
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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. Enjoyable
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.
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Develop measurable skills and capabilities
This training course starts by looking into whole crude characterization using a molecular structure approach and different characterization methodologies based on the available experimental data. Characterizing multiple crudes on to a single component slate will lead to blend analysis based on final crude properties and downstream and economic constraints. The materials will explore modeling options for Atmospheric distillation processes including rigorous and simplified methods.
Additional sessions will look at building an integrated model consisting of a hydrotreating and hydrocracking complex for a Heavy Vacuum Gas Oil, by introducing dedicated rigorous unit operations for each reactor including multiple bed configurations, catalyst impact, and H2 consumption. Molecular structure driven kinetic engine and reactive pathway tuning with a focus on process variables profiles and product distribution and properties will be reviewed. Several tuning strategies are presented along with automated tuning enabled by the regression tool within Symmetry.
There are 2 specialized sessions looking in detail at modeling:
These sessions look at: the characterization of heavy hydrocarbon feeds using molecular structures, representation of the mechanical configuration of the reactive units in the software, tuning of the kinetic engine, product separation sections and use of productivity tools such as the Case Study and Regression. Other flowsheet considerations such as recycle point set up, selection and ordering are introduced to the user exploring the impact on model solution time and robustness. Finally, Molecular Reduced Order Model (ROM) technology is introduced for faster solution based on variable training methodologies.
(TBC)
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