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 course discusses the theory and practice of reservoir simulation and its advanced topics; the development of simulation programs, selection of the proper model for a simulation study, data preparation and grid design, calibration of the reservoir model using observed performance data, forecasting of future performance under primary and secondary recovery schemes, and interpretation of simulation results. Advanced topics, including pseudo-relative permeability and capillary pressure, understanding the role of simulation in reservoir management, the mechanics of reservoir simulation, limitations and structural aspects of the models, upscaling and simulation techniques are also discussed. ECLIPSE will be utilized
Engineers, geologists, geophysicists, managers, and other oilfield technical staff
Fundamentals of reservoir simulation equations, Finite difference approximations, Single and multiple dimensions, Single and multiple phases, Solution methods, Well calculations, Types of models Black-oil, MBO, Compositional, thermal, miscible, dual-porosity, Applications of different types of model, Data used in a reservoir simulation study, Geological data, Fluid properties, Rock properties, Well data, Pressure data, Production history, Practical guidelines for using reservoir simulators, Applications of reservoir simulation How to identify the model you need, Uses and misuses of simulation, Effect of time and space discretization, How to recognize problems, Pre- and post-processing, Small scale models, Coning studies, Cross-sectional models, Areal models, Grid orientation, Field scale models, Simulation grids, Local grid refinement, Modeling faults, Aquifers Problem solving., Assisted history matching. The class will be taught in a workshop format using related software applications
Customize your own learning journey and track your progress when you start using a defined learning path.