This course is a practical about the design and construction of static reservoir models. It translates theoretical background into practical model construction using Emerson RMS software. 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. Throughout the course a reservoir will be characterised 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 focus on 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 their 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 workshop participants will construct a static geomodel, which is ready to be initialised as simulation model.
Course Level: Skill Instructor: Wilfried Gruber
Designed for you, if you are...
A geologist, geophysicist or petroleum engineer seeking to gain an understanding and practical knowledge in reservoir characterisation, geostatistics and modelling
How we build your confidence
Emphasis will be on practical examples in order to improve personal skills in reservoir modelling
At the same time, theory in statistics, geostatistics, interpolation and simulation techniques will be communicated to provide a firm knowledge base
The course is designed in a way that each main topic will consist of a theory section followed by computer exercises for application of the learned and opportunities for in-depth discussions
At the end of the course, you will have confidence on setting up a reservoir modelling strategy and operating a reservoir modelling software package through all steps of model building. The key points to take will be:
Showing the methods and benefits of integrating geological, geophysical, petrophysical and engineering data into static reservoir models
Introducing state of the art deterministic and stochastic modelling techniques, demonstrating their application and outcomes
Gaining skills on making realistic assumptions of reservoir parameters and the associated spread of model uncertainties
Discussing the full workflow from data input and analysis through modelling and upscaling results into a model ready for flow simulation
Introduction to reservoir characterisation
Reservoir metrics and related variable types
Generation of a reservoir model
Grid design and structure determination
Structure model exercise
Geostatistics and spatial data analysis
Variograms, Kriging basics and methods, Co-kriging