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 is a 5-day course, of 6 hours per day, to be remotely delivered by Remote Instructor Led Series.
Based on data coming from a material balance or the own production of a well, it is possible to predict the future production behaviour of a well as a function of time and decide the proper selection of design variables such as tubing sizes for example, or make the decision to install or not any particular artificial lift system. Unlike a conventional nodal analysis, all decisions from a sensitivity analysis is carried out and planned in the future considering the reservoir pressure changes that happens with time.
Production and reservoir engineers, engineers with basic knowledge in this area, among other, involved in the monitoring and performance of oil and gas wells.
Participants should be familiar with basic Production Engineering, have some field experience in Production and basic knowledge of artificial lift systems. Basic understanding of well completions and operations.
Customize your own learning journey and track your progress when you start using a defined learning path.