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| Code | Date | Location | price (€)* |
|---|---|---|---|
| GEO 101 | 4 – 8 May 2026 | Online | 3300 |
| GEO 101 | 13 –17 Jul 2026 | Online | 3300 |
| GEO 106 | 16 – 20 Mar 2026 | Dubai | 4400 |
| GEO 106 | 10 – 14 Aug 2026 | Stavanger | 4400 |
This 5-day training course focuses on carbonate sedimentology, diagenesis, and reservoir characterization, and how these elements are integrated into a static reservoir model. Emphasis is placed on the interpretation and handling of geological data as model input, rather than on the IT-based technical construction of the model itself. Reservoir characterization provides critical insight into the three-dimensional distribution and realization of reservoir heterogeneity and petrophysical properties. This information forms essential input to both static and dynamic reservoir models and is crucial for understanding fluid flow behavior during production. The objective of the course is to enable participants to deliver high-quality sedimentological input data to geo-modelers. These inputs include the spatial distribution of sedimentary and diagenetic facies, porosity, permeability, and MICP-based saturation heights.
o Distinctive aspects of carbonate rocks
o Mineralogical stability and secondary porosity
o Basic components of carbonate rocks
oFaunal assemblages
oCarbonate classification
oPlatform profiles and sedimentological implications
o Depositional sequences
o Sedimentary facies
o Diagenesis
o Play types
o Facies models
o Pore-type definitions and application into reservoir modelling
o Pore-types and wireline log
o Porosity and pore-type based saturation modelling
o FWL vs. OWC/GOC/GWC: Porosity and pore-type controls
o Flow zones and barriers
o Special challenges of vuggy/ fractured reservoirs
o Field-wide predictions of different reservoir parameter: effective porosity
o Field-wide predictions of different reservoir parameter: permeability
o Field-wide predictions of different reservoir parameter: saturations
The instructor has 37 years of experience as a carbonate geologist in exploration, production/field development, and research. He also has six years of experience working with siliciclastic reservoirs in the North Sea. His primary area of expertise is carbonate sedimentology and diagenesis, with a strong focus on reservoir characterization. He has developed several proprietary techniques for static reservoir modeling. In 2006, he published a new pore-type classification system (AAPG) that is applied to predict permeability, effective porosity, saturation heights, and hydrocarbon contacts. These predictions are further enhanced through the use of artificial intelligence, utilizing a time-efficient methodology he has developed. This methodology for reservoir characterization, and its application in reservoir modeling, was formally approved during a Beicip-Franlab audit in 2012.
The course is designed for geoscientists with a basic understanding of carbonate sedimentology, geomodellers who wants to construct geomodels and sedimentologists.
o Basic to Intermediate
The participants will learn:
o Sedimentary facies and diagenesis and how these affect reservoir properties.
oRock typing based on pore-type variation.
o Use of artificial intelligence in making predictions in non-cored intervals.
o Integration of sedimentological and petrophysical data.
o Spatial distribution of reservoir properties, from well scale to field scale.
o Reservoir characterization and model building.
Registration is now OPEN!
Ph.D. students, group and early bird registrants are eligible to DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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