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.
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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. Enjoyable
Predict the rate at which a well should be capable of producing, given reservoir and fluid properties, wellbore configuration, and flowing wellhead pressure. Identify which components of the reservoir/completion/wellbore system are restricting performance; analyze production data to find permeability, skin factor, and drainage area; forecast future performance from historical production trends and from known reservoir properties
Reservoir and production engineers involved in improving field performance through identification and remediation of under performing wells
IPR relationships for oil and gas wells
Effect of completion issues (partial penetration, deviated wellbore, fracture stimulated well and gravel packs) upon IPR curves
Production data analysis techniques
Decline curve analysis, future performance estimations
Knowledge of the steady-state and pseudosteady state forms of Darcy’s law. Basic understanding of welltest analysis, including the ability to identify the early and middle time regions on a log-log plot, Horner graph analysis (for K, skin factor and P ), and Gringarten/Bourdet type curve analysis (for K and skin factor).
Customize your own learning journey and track your progress when you start using a defined learning path.