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.
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. 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. EnjoyableBridging 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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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. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
This course will discuss SPE PRMS guidelines (June 2018 version). SEC regulations will also be summarized by comparing important definitions with PRMS. Resources classification and categorization will be given on a framework along with a guideline for the application of these definitions.
The course will update G&G and reservoir engineers with the current deterministic and probabilistic reserves estimation methods.
Module 1: Introduction
Module 2: Classifying Petroleum Resources
Module 3: Classifying Petroleum Resources (Part 2)
Module 4: Reserves Estimation
Module 5: Recovery Factors
Module 6: Reserves Economics
Module 7: Before and After Tax Cash Flow (Part 1)
Module 8: Before and After Tax Cash Flow (Part 2)
Module 9: Analogy
Module 10: Material Balance Analysis
Module 11: Material Balance Analysis - Gas Reservoirs
Module 12: Decline Curve Analysis
Module 13: Advanced Decline Curve Analysis
Module 14: Deterministic Reserves (Part 1)
Module 15: Deterministic Reserves (Part 2)
Module 16: Descriptive Statistics and Probabilistic Reserves
Module 17: Reserves Workflows
Module 18: Unconventional Resources Review
Individuals with both geoscience and engineering backgrounds
A basic knowledge of reservoir engineering and petroleum geology, along with an Engineering or GeoSciences degree.
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