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.
The course is designed for:
Geoscientists, engineers newly hired, or 2-3 years experienced, technicians involved in multidisciplinary teams, willing to widen their knowledge and acquire practical know-how in geological modelling.
Upon completion of the course, participants will be able to:
Reservoir characterization tools
Introduction to reservoir characterization.
Reservoir metrics and related variable types
Well logging & qualitative log interpretation.
Stratigraphy and sedimentology of siliciclastic reservoirs.
Fundamentals of facies analysis & rock-typing.
Seismic interpretation and attributes analysis: qualitative and quantitative methods.
Spatial data analysis
Variograms, Kriging basics and methods, Co-kriging
Simulation methods for discrete variables (indicator simulation, TGS, Boolean, MPS, etc.)
Methods for continuous variables (SGS, GRFS, bivariate, etc.)
Integrated reservoir studies
Geological modelling for integrated reservoir studies.
Hydrocarbons accumulations, risk analysis and uncertainties.
Naturally-fractured reservoirs: static and dynamic modelling.
Petrophysical properties: core, log and test data integration for reservoir modelling.
Reservoir modelling & volumetrics
The setup of a reservoir model
Grid design and structure determination
Facies, property and fracture modelling strategies
Volume estimates and uncertainty assessment
Grid upscaling to the coarse model
Final project workshop based on clients data
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