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
The Petrel Fundamentals course introduces new users to Petrel functionality with emphasis on visualization, data organization and collaboration.
The course covers basic usage of the application, providing an understanding of how to get started with Petrel. You will learn about Petrel project set-up, data import, visualization, creating simple surfaces and grids and performing basic quality checks. You will also be introduced to the Studio Database and simple tools for retrieving data.
For versions older than Petrel 2014:
Same description as above but without the Studio Database and using the classic interface.
Development and Exploration Geologists, Geophysicists, Geochemists, Geoscientists, Petroleum Engineers, Managers, and Technical IT personnel with no prior experience in Petrel software.
We recommend that users with no prior experience in Petrel complete the Petrel Fundamentals course before taking the Petrel Reservoir Engineering, Petrel Geology, Petrel Geophysics, Petrel Drilling or Petrel Data Managment courses
General knowledge of petroleum geology and geophysics or reservoir engineering as well as elemental software skills is recommended.
Customize your own learning journey and track your progress when you start using a defined learning path.