Digital Core Analysis Workflows with GeoDict
Online seminar
Date
June 02, 2026
Time
04:00 pm - 05:00 pm (CET/CEST)
Event location
Online
Participant fee
Participation is free of cost but requires registration.
Additional
The online seminar will be held in English!
Digital Rock Physics (DRP) has evolved from a promising concept into a powerful, physics-based extension of core analysis. It aims to tackle the fundamental challenges that many operators still face: limited or unsuitable samples for lab analysis, long turnaround times for SCAL, and persistent uncertainty in key properties such as wettability, relative permeability, and heterogeneity effects.
In this webinar, join our expert Lobel Danicic as we focus on where DRP truly adds value and complements decision-making by providing deeper understanding, enabling multiscale analysis, and allowing scenario testing that is otherwise not feasible.
Whether you are working on tight formations, complex carbonates, or advanced SCAL programs, this session will provide a practical perspective on how DRP can be applied where it matters most and how it can make the better use of every rock sample.
Your contact person
Speaker
Lobel Z. Daničić
Application Engineer Digital Rock Physics
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In this seminar you will learn step-by-step:
- From scan to simulation: Demonstrate how GeoDict enables digital rock workflows – from raw micro-CT images to processed and segmented digital rock models and beyond
- Pores and grains demystified: Advanced image analysis workflows, characterizing rock properties and unlocking the understanding behind flow-related behavior
- Quantifying uncertainty: Showcase sensitivity analysis capabilities in GeoDict, e.g., for wettability-based relative permeability effects
- Tackling multi-scale rocks: Cutting-edge workflows that enable physics-based upscaling from resolved pore-scale simulations to digital rock models with microporous domains
Why should you attend this seminar?
- Faster access to critical reservoir properties
- Additional insights unlocking more value out of reservoir rocks
- Reduced costs through fewer physical experiments
- Improved understanding of complex pore-scale processes
- Increased flexibility in scenario/sensitivity analysis tests