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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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
When fluid sample consists of two or more hydrocarbons, and those hydrocarbons exhibit distinctly different phase and composition changes relative to temperature and pressure, more complex definitions of fluid behavior are required for reservoir simulation and predictions of recovery.
Compositional simulation is useful when an equation of state is required to describe reservoir fluid phase behavior. Some applications include the modeling of a miscible flood scheme and compositional changes associated with depth. Similarly, a compositional model is the right choice to accurately capture the complex physics such as condensate dropout in the reservoir.
Knowledge of compositional behavior is also required for accurate planning and designing of surface production facilities.
Introduction to PVT
Fluid Modeling workflow
Compositional EoS and flash
From ECLIPSE Blackoil to ECLIPSE Compositional
Gas modeling in ECLIPSE Compositional
Other important options in ECLIPSE Compositional
Reservoir engineers familiar with ECLIPSE Blackoil simulator who are interested in learning reservoir compositional simulation using ECLIPSE Compositional simulator
Pressure-Volume-Temperature (PVTi) or knowledge of Equation of State (EOS) modeling; reservoir engineering background or familiarity with the ECLIPSE Blackoil simulator
Customize your own learning journey and track your progress when you start using a defined learning path.