This course provides a comprehensive, practical knowledge of reservoir characterization and modelling workflow, via hands-on activities and case studies with the aim of bridging the gap between static geological characterization and dynamic reservoir behaviour.
Constructing a reservoir model includes the difficult task to integrate data from very different sources like seismic, well, core and wireline information as well as sedimentological concepts and facies interpretations. This course will show how modern reservoir modelling practice handles such different viewpoints from geoscience and engineering.
The course starts with characterising reservoirs in terms of structure, sedimentology and related petrophysical properties and develops these into static reservoir models. Geostatistics and data integration across the key disciplines will set the baseline.
This training will teach state-of-the-art concepts, practical fundamentals and common pitfalls when using applications in integrated computer-based modelling. It aims to provide a complete picture in reservoir modelling which starts already at the grid design.
The bulk of the course will be used to convey detailed univariate and multivariate statistics, geostatistics and its applications. The modelling part will include variogram based and non-variogram based deterministic and stochastic techniques and show how to apply these for populating facies and properties like porosity, permeability or saturation.
During this course participants will construct a static geomodel, which is ready to be initialised as simulation model.
If you would like to request the course outline, find out the next available time slot or you have any other inquiry, please tell us more by filling up the form below.
Will be in touch with you as soon as we can.