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 ECLIPSE software suite provides solutions for the entire spectrum of reservoir simulation, offering robust numerical simulation techniques for all kinds of reservoirs and all degrees of complexity. If you are an experienced simulation engineer ready to advance your knowledge of ECLIPSE software, this course is for you. Because of the wide range of topics available, please specify the subjects of particular interest upon registration.
Reservoir engineers with experience in ECLIPSE interested in learning advanced topics of reservoir simulation using ECLIPSE simulators
• Understand initialization and end-point scaling
• Model horizontal wells
• Model downhole inflow control devices using multisegmented wells
• Use well and group controls
• Optimize gas lift
• Amalgamate surface facilities using reservoir coupling
• Perform network modeling
• Determine flux boundary and pressure boundary conditions
• Convergence issues
• Actions and User Defined parameters
• Perform gas supply contract modeling (optional)
• Refine and coarsen local grids (optional)
ECLIPSE Blackoil course or experience as a simulation engineer and ECLIPSE Applied Reservoir Simulation Fundamentals
Customize your own learning journey and track your progress when you start using a defined learning path.