
The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.

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
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. EnjoyableUpstream 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
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.

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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Develop measurable skills and capabilities
The purpose of this skill level course is to provide the participants with an understanding of how petrophysics and statistics are integrated. The course can be delivered as a remote delivery, a public or customized for a client. Often the primary objective of reservoir petrophysics is to provide numerical transforms for total porosity, effective porosity, absolute permeability, lithology, defining petrophysical rock types and creating a saturation height model. It is important that investigators, know how to evaluate various statistical techniques and use various methods, because these numerical transforms are used as the basis for building static and dynamic 3-D models. To be a successful reservoir petrophysicists, you must understand statistical distributions, various averaging methods, smoothing, curve fitting and regression methods. Further, it is necessary to understand when a dataset has statistical significance. |
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