Short Course 1
Short course 1 – 2 November
The Digital Twins Enabling CCS and the Energy Transition
Level: Foundation
Digital technologies are transforming the entire Carbon Capture, Utilization, and Storage (CCUS) value chain, enabling projects to be designed, operated, and monitored with greater accuracy, efficiency, and confidence than ever before. As the world accelerates its transition toward low‑carbon energy systems, CCUS has emerged as a critical pillar—but its success depends heavily on the adoption of innovative digital tools.
This course explores how cloud computing, Artificial Intelligence (AI), Machine Learning (ML), and advanced Digital Twin technology are reshaping every stage of the CCUS lifecycle. The course is structured around the full CCUS workflow—from capture and process modelling, through transport simulation, to storage planning, injection operations, and long‑term monitoring. At each stage, students and professionals examine concrete examples of how digital technologies reduce costs, improve performance, and de‑risk decision‑making. Beginning with carbon capture, attendees will explore how the understanding of CO2 thermodynamics play a major role in the design and operations of the CCUS value chain.
Date
2 November
Time
09:00 - 17:00
LOcation
Hannover Congress Centrum
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COURSE OBJECTIVES
- Explain the role of digital technologies and AI in modern CCUS project design, optimization, and monitoring.
- Describe the CCUS life cycle—from capture & process modelling to transport, storage, injection, and long‑term monitoring—and understand where digital tools create measurable value.
- Interpret Digital Twin concepts and apply them to CO₂ capture facilities, transport systems, injection operations, and storage reservoirs.
Course Outline
- Welcome and course orientation (30 min)
- Session 1 (1h)
- Digital Foundations for CCUS: Concepts, Tools & Platforms
- Session 2 (1 h)
- Digitalizing Capture & Process Modelling
- Session 3 (45 min)
- CCUS Transport: Pipelines & Flow Modelling in the Digital Era
- Session 4 (2 h)
- Digital Twins for Storage: From Planning to Injection & Monitoring
- Session 5 (1 h)
- The Future of CCUS: GenAI, Agentic AI & Integrated Digital Ecosystems
- Wrap up & takeaways (15 min)
Participant Profile
This course is designed for a broad range of professionals and students interested in CCUS, subsurface engineering, digital technologies, and the energy transition. It is suitable for both early‑career learners seeking foundational understanding and mid‑career professionals looking to build digital competencies relevant to modern CCUS projects.
Key Takeaways
By the end of the course, participants will recognize how real‑time data, cloud simulation, machine learning, and Generative/agentic AI improve efficiency, reduce cost, and de‑risk CCUS operations. They will also evaluate real‑world case studies demonstrating operational benefits for industry operators and stakeholders.
Prerequisites
This course is designed to be accessible to both undergraduate students and mid‑career professionals, and does not require deep prior experience in CCUS or artificial intelligence. However, participants will benefit most from the class if they have a basic understanding of engineering principles, ideally in fields such as geoscience, chemical engineering, petroleum engineering, mechanical engineering, or data science
