TIMEâ‚„COâ‚‚ - Unlocking maximal geological COâ‚‚ storage through experimentally validated mathematical modeling of dissolution and convective mixing
Interdisciplinary research bridging modelling, simulation, and experiments.
About the research project
Objective
As part of TIMEâ‚„COâ‚‚, we will conduct dedicated meter-scale COâ‚‚ storage experiments in the FluidFlower studying convective mixing in complex media, analyzed by our DarSIA image analysis toolbox, to finally improve simulation methodology.
MSc thesis projects affiliated with TIMEâ‚„COâ‚‚
- Olivia Wood (Mathematics), Advancing Optimal Transport Metrics for Data Comparisons (2025)
- Ruben Wespestad (Mathematics), Data-driven modeling of FluidFlower experiments
- Sigrid Klev Lien (Mathematics), En sammenliknende undersøkelse av homotopi-kontinuitetsmetoden og Newton’s metode for to-fase-strømningssystemer sett i lys av geologisk CO2-lagring
- Jakob Haaland Fosvold (Energi), Experimental data for machine learning of multiphase flow in porous media
- Johannes Handeland Salomonsen (Energi), Experimental investigation of convective mixing during carbon storage
- Erlend Erdal Moen (Energi), A parametric study on convective mixing during geological carbon storage
Short introduction to the FluidFlower
People
Project manager
Jakub Wiktor Both Project leader
Project members
Kristoffer Eikehaug Participant (Engineer)
Martin Fernø PhD co-supervisor
Jan Martin Nordbotten Participant
Cilliers Pretorius PhD candidate
PhD co-supervisor
Funding
NFR Researcher Project for Early Career Scientists (FRIPRO), Project No. 355188