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
This 5-day course, with 3-hour remote delivery per day, is part of Remote Instructor Led Series being a
comprehensive discussion of the sub-surface production system, enabling detailed analysis and diagnosis of production impeachments and their corrective mitigation, and taking into account the integrality of the production system: from the reservoir offer and limitations to the wellbore restrictions and the production completions.
This course discusses methods to analyse reservoir behaviour and optimise production based on decline curve analisis and Nodal analysis. Also, the course discusses the performance of fracturing completions and acid stimulations.
Practical exercises illustrate each module and enable full comprehension of the methods explained.
|Organic e Inorganic Scales|
Reservoir and Production Engineers, experienced in Well Intervention, Reservoir Studies and Production Operations.
Knowledge of basic concepts of Reservoir Engineering, Petrophysics and Production Engineering and experience dealing and solving field problems related to well productivity. Minimum of 3 years experienced working on Well Intervention, Reservoir Studies and Production Optimization.
Customize your own learning journey and track your progress when you start using a defined learning path.