Enabling CO2 capture and storage using AI

ECO-AI is a UKRI funded project (Grant references: EP/Y006143/1, EP/Y005732/1) to address key barriers for large scale Carbon Capture and Storage (CCS) implementation including: a) high energy demands of the capture process, b) high cost for predicting and monitoring CO2 plume migration, storage conformance and caprock integrity, and c) uncertainties in financing CCS projects and lack of understanding of the impact of regulatory and/or market interventions on achieving the UK NetZero targets. The project team aims to address these barriers by developing

  • AI materials discovery pipeline for energy efficient CO2 capture
  • AI-solvers for modelling CO2 flow in geological storage formations
  • Modelling CO2 target progress coupled with innovation trajectories for each industrial sector
We are hiring multiple PDRAs - checkout these opportunities

Workpackages and tasks

  • WP1: AI for scientific discovery and multiscale modelling (Pain, Elsheikh, Fang, Chada)
  • WP2: AI-Enabled-CO2 Capture: Integrated Solvent and Process design (Cummings, McCabe, Adjiman, Jackson, Galindo)
  • WP3: AI-enabled CO2 storage in deep geological formations (Singh, Menke, Busch, Doster, Elsheikh)
  • WP4: Sectoral Targets for CO2 & Innovation Advantage (Dimitris, Chada)
  • WP5: Dissemination, community building and public outreach (Elsheikh, Project team)

Project team at Heriot-Watt University (HWU)

Project team at Imperial College London (ICL)

Project partners

  • Science and Technology Facilities Council (STFC), Accelerator Science and Technology Centre, Dr Jeyan Thiyagalingam
  • PETRONAS, Technology and Engineering Division, Mr Faizal Sedaralit
  • ArianeLogiX GmbH, Dr. Martin Neumaier