Numerical prediction of CO2 leakage from storage reservoir under seabed

CO2 capture and storage (CCS) is one of the effective and operational options to meet the net Carbon-Zero target. However, the leakage and the related environment impacts are the concerns of employing this technology in engineering scale, especially for CO2 under seabed storage. The sediment–water interface is the boundary where hold a rich diversity of marine organisms. The changes in sediment–water environment will affect them and result in a risk to the marine biological cycle. This project aimed to predict the physical impacts of CO2 dispersion and dissolution in sedimentary environments by Computational Fluid Dynamic (CFD) technologies. The project will investigate the effects of sediment particle size, the porosity, the current of ocean bottom boundary on CO2 dispersion rate in the sediments under designed leakage rates, water depth, and positions. The data from field observations (from EU project STEMM) on sediments structure, the oceanic currents and the physical properties of brine will be implemented to the model to predict the fate of leaked CO2 through sediments into turbulent ocean bottom boundary layer. The results will provide the guidance to the design and performance of CO2 under seabed storage.

Supervisor name: 
Baixin Chen
Supervisor and Deputy email addresses:
Deputy name: 
Mr Nidal Saab