Baobab LMS is a completely new approach to micro-learning. It is all video-based and covers concepts and applications in commercial software such as Petex IPM and KAPPA workstation. This unique method allows effective learning for Petroleum Engineering wherever and whenever you need it, i.e. performance support or help at the moment of need.
In this ”Video Library” section, information is presented in the form of a searchable, digital library (or knowledge base) – informal learning, available 24/7 on any device.
Whether you’re an experienced professional or just starting out, good training is vital to your success – but how much will you remember of that one-off training course? How up to date is the information you search for online? With Baobab, there’s another way to learn.
In reservoir performance we cover the key concepts in reservoir engineering that enable reservoir performance prediction (production profiles, recovery factor etc.). These include the energy support (or drive) mechanisms naturally present (primary) and those methods that are introduced to increase recovery (secondary and tertiary). We will look at reservoir modelling using analytical techniques such as material balance and show how data from pressure transient analysis (well testing) can improve the model. To show these concepts in practice, we review reservoir modelling applications with commercial software.
Predicting production and reserves using decline curve analysis and water-oil-ratio (WOR) plots.
Predicting production and reserves using RCA techniques with rates and pressures using type curves and physical models (analytical and numerical).
The application of well testing theory with Saphir using diagnostic plots and physical analytical and numerical models.
A review of the concepts and methods used for performance prediction and reserves estimation in unconventional reservoirs.
Applying the principles of unconventional reservoir analysis using the workflows developed by KAPPA Engineering and their application in Citrine and Topaze.
An overview of the application of numerical simulation modeling for history matching and forecasting.