Digital Rock Physics in Subsurface: An interactive course covering from CT scanning to pore scale modeling

An interactive live course by Prof. Dr. Saeid Sadeghnejad within 10 lectures, from 25th Feb to 31th March, Tuesdays and Thursdays from 15:30 to 17:00 (10 sessions x 1.5 hrs).

Syllabus overview:
This course provides a foundational understanding of Digital Rock Physics (DRP) workflow with a focus on subsurface geological formations and their applications. By the end of the course, students will be proficient in DRP workflows and AI-based segmentation techniques for geological and energy-related applications (hydrogen storage, carbon capture and storage, and oil and gas).
The syllabus is designed to provide participants with a comprehensive understanding of DRP starting with core analysis and imaging techniques such as micro-CT. Participants will gain practical skills in image processing, including artifact correction, segmentation, and advanced AI-driven techniques. The course also explores pore-scale modeling, covering direct numerical simulation (DNS) and pore network modeling (PNM), with real-world case studies in subsurface energy storage and contamination modeling. No prior technical expertise in AI or image processing is required, and the course ensures accessibility for beginners while offering advanced learning opportunities for experienced professionals.

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Registration Fee and Discounts: The regular registration fee is 120 Euro. Discounts: Early Registration 20%, Students 50%, World Academies (WAC) Members* 50 % , WAC-Students 60 %, WAC Group Leaders** & Selected RTR Applicants*** 70% (can be up to 100 % free via RTR Application)***. If you need any support please contact to: workshop@world-academies.com *Student 60 EuroEarly Registration 96 EuroRegular 120 EuroActive WAC Member 60 EuroActive WAC-Student-Member 48 EuroSelected WAC Group Leader & RTR Applicants 48 Euro

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Collaboration Opportunity: Selected participants would also have the opportunity for RTR (Remote Training and Research) collaboration with World-Academies, as well as with Academic & Industrial partners. For this purpose you can write down your interest in summary and then complete WAC RTR application*** form

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Syllabus:

1. Introduction to Digital Rock Physics (DRP)

• Overview of Subsurface Geological Formations
  o Groundwater, Geothermal Reservoirs, Carbon Capture and Storage, Hydrogen Storage, and Oil and Gas Reservoirs
• Formation Evaluation (Core Analysis)
  o Routine (RCAL) and Special (SCAL) Core Analysis
• Digital Rock Physics (Digital Core Analysis )
  o Digital Rock Physics Basics and Workflow

2. Imaging Techniques

• Imaging Techniques used in DRP
  o Fundamentals of X-ray Imaging
  o Medical vs. Industrial Scanners
  o Micro/Nano CT Scanners
  o Synchrotron X-ray Beamline
  o SEM and FIB-SEM
• Micro-CT Scanning
  o CT Scanning Basics
  o Nominal vs. Spatial Resolution
  o Resolution vs. Field of View
• CT Scanning Artifacts
  o Addressing Beam hardening, movement, ring, scattering, and cone-beam artifacts

3. Image Processing

• Digital Representation of Samples
  o Gray scale vs. RGB, Pixels vs. Voxels, Bit Depth
• Noise and Artifact Correction:
  o Application of Filters (Mean, Median, Non-Local Mean)
• Image Segmentation
  o Thresholding vs. AI-driven Methods

4. Pore Scale Modeling

• Direct Numerical Simulation using Navier-Stokes-Brinkman Equation
• Pore Network Modeling
• Case Studies in Subsurface Energy Storage and Contamination Modeling

5. Image Processing using ImageJ

• Introduction to ImageJ
• Image Filtering
• Segmentation Techniques
• Particle Analysis

6-Rock Micro-CT Scan Preprocessing

• Hand-On Case Studies on Image Processing
• Practical Image Processing for Geological Datasets

7. AI-Based Segmentation

• Introduction to AI Segmentation
• Tool Focus: Working with ilastik

8. Hand-On Segmentation Case Studies using AI

• Binarization of image data
• Multiphase segmentation for advanced geological analysis.

Learning Outcomes

• Understand the fundamentals and workflow of Digital Rock Physics (DRP).
• Apply DRP to real-world geological problems.
• Gain proficiency in imaging techniques, including micro-CT scanning and artifact correction.
• Master image processing methods with tools like ImageJ and ilastik.
• Implement AI-driven segmentation techniques for geological imaging.
  

Teaching Methodology

• Lectures: To build theoretical understanding.
• Hands-On Labs: For practical experience in imaging, processing, and modeling.
• Case Studies: Real-world applications of DRP in subsurface systems.

Who Can Participate?
This course is designed to cater to a diverse range of participants with varying levels of expertise. It is open to undergraduate and graduate students in fields such as geology, geophysics, petroleum engineering, civil engineering, groundwater and soil remediation, and environmental science, as well as early-career professionals working in industries like oil and gas, carbon capture and storage (CCS), geothermal energy. Moreover, researchers in earth sciences, material sciences, and energy storage, as well as professionals transitioning to digital workflows in rock physics, will find the course particularly beneficial. Additionally, AI/ML enthusiasts interested in applying machine learning techniques to geoscience problems are encouraged to join. While prior knowledge of core analysis and basic geological concepts is recommended, the course is designed to be accessible to beginners and provides hands-on training in tools like ImageJ and ilastik.