ECO-AI Workshop: Enabling Carbon Capture and Storage using AI
After the success of the ECO-AI workshop in March 2024, we hosted another successful two-half-day workshop in March 2025, where we explored groundbreaking AI solutions in the field of Carbon Capture and Storage (CCS). This event, a key component of the ECO-AI project, aimed to address critical challenges in implementing large-scale CCS technologies. We delved into innovative AI applications that enhance the efficiency and effectiveness of CCS processes.
Event Details
Date and Time
Monday 24 March: 13:00 - 17:00 (lunch served from 12:00)
Tuesday 25 March: 09:00 - 13:00 (lunch served from 13:00)
Location: Heriot-Watt University, Edinburgh, UK
Venue: Scott Suite, Edinburgh Business School
Engaging Presentations and Expert Panels
Our workshop featured a diverse lineup of presentations and panel discussions led by renowned experts from the ECO-AI project team at Heriot-Watt University and Imperial College London, along with prominent academic and industry leaders.
Invited Speaker Presentations
- Recent applications of machine learning and life cycle assessment to carbon capture, Gonzalo Guillén-Gosálbez, ETH Zurich
- Advancing CO2 and Hydrogen Storage in Lithuania: A machine learning and Digital Rock Physics Approach, Mayur Pal, KTU, Lithuania
AI for Scientific Discovery and Multiscale Modelling
- AI for Scientific Discovery and Multiscale Modelling: Demonstrating AI4PDEs and AI4Particles, Boyang Chen, Imperial College London
- SCALED: SCALable gEnerative founDational model for Computational Physics, Yueyan Li, Imperial College London
- Surrogate model for solid-fluid interaction: a grid invariance approach, Nathalie Pinheiro, Imperial College London
- RAPIDS: Rapid AI-Powered Image-to-Dynamic Simulations, Aniket Joshi, Imperial College London
Sectoral Targets for CO2 & Innovation Advantage
- Temporal Meaning of Patents, David Dekker, Heriot-Watt University
- Impact of Venture Capital on Green Innovation, Dimitris Christopoulos, Heriot-Watt University
- A Hybrid Machine Learning Approach for Carbon Price Forecasting, George Tzougas, Heriot-Watt University
- Emissions Targets and Innovative Behaviour, Olive Bradshaw, Heriot-Watt University
- Tech Debt Funding Systemic Effects of the Availability of Venture Debt on the Distribution of Early- and Late-Stage Funds in Tech Ecosystems, Vanessa Galeano-Duque, Heriot-Watt University
AI-Enabled CO2 Storage in Deep Geological Formations
- A Deep-Learning Recursive Multi-Step Approach for Prediction of Reactive Dissolution in Porous Media, Marcos Cirne, Heriot-Watt University
- Quantifying Uncertainties in Fracture Conductivity for CO₂ Storage: The Impact of Model Misspecifications, Sarah Perez, Heriot-Watt University
- Fast inference of microporosity phases properties of carbonate rocks with machine learning for characterizing CO2 flow behaviors, Josh Bo, Heriot-Watt University
Workshop program (updated 24 March 2025)
Contact Us
If you have any questions about this event, please contact ECO-AI project manager at aw2073@hw.ac.uk
Workshop photos (March 2025)
