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 8-hour eLearning course presents the concepts of petroleum economics and risk analysis. Topics covered include cash-flow basics, revenue, expenditure, fiscal systems, risk analysis and investment analysis
Engineering technician, production and drilling personnel, new hires and supervisors with no prior economics experience.
Module 1 discusses cash flow basics, including revenue and expenditures. Before tax and after tax cash flow are then calculated.
Module 2 presents revenue, including production volume, scheduling and decline. Product prices, net profitability and economic limits are presented.
Module 3 discusses expenditures, including capital and operating expenses. The usual taxes that must be paid by oil and gas producers are described.
Module 4 presents an overview of fiscal systems, including the different types of contracts.
Module 5 discusses incorporating risk and uncertainty into economic evaluations.
Module 6 presents investment analysis, including the time value of money, economic indicators and opportunity costs.
Module 7 is the economics challenge, including the simulated board meeting and project selection.
There are no prerequisites for this module
Customize your own learning journey and track your progress when you start using a defined learning path.