This interdisciplinary course integrates modern reservoir modelling and reservoir engineering concepts to address and overcome the key challenges encountered when creating meaningful static and dynamic reservoir models of (fractured) carbonate reservoirs.
Course Structure: 10 modules of max. 2 hours each, delivered over 5 days Each day will consist of 2 modules which will be no more than 2 hours in length with ample time for delegates to break for refreshments.
Course Level: Skill / Advanced Duration: 5 days Instructor: Sebastian Geiger & Patrick Corbett
Designed for you, if you are...
A geomodeller, reservoir engineer or petrophysicist working on (fractured) carbonate reservoirs, wishing to build a strong foundation in characterising and modelling these complex reservoirs.
How we build your confidence
By using case studies, you will review the challenges and best practices when characterising and modelling (fractured) carbonate reservoirs
Discussions of the integration of core and log data for creating robust reservoir rock-typing approaches for carbonates
It will be explained how fractures can be detected and incorporated in static and dynamic reservoir models
Modern reservoir modelling approaches for carbonate reservoirs will be introduced, that allow us to capture their multi-porosity nature (not specific to certain software packages)
You will explore the advantages and challenges when using digital rock-physics approaches for carbonate reservoirs (incl. simulation exercises)
You will understand how uncertainties in carbonate reservoir modelling can be quantified using static and dynamic data, and how these data can be used for model calibration
The benefits from attending
By the end of the course you will feel confident in your understanding of:
Integrating core and log data for reservoir rock-typing in carbonates
Detecting, characterising and modelling fractures in carbonates
State-of-the-art carbonate reservoir modelling approaches and best practices
The benefits of digital rock-physics workflows for carbonates
Quantifying uncertainties in carbonate reservoir modelling
Petrophysics for carbonate reservoirs
Reservoir rock-typing for carbonates
Detecting, characterising and modelling fractures
Multi-scale and multi-porosity reservoir modelling and upscaling
An introduction to digital rock-physics for carbonates
Model ranking and clustering using static and dynamic data
Uncertainty quantification for carbonate reservoir modelling