High Fidelity Pore-Scale Modelling for CO2 Trapping Mechanisms in Support of Carbon Storage
Supervisor: Professor Shuisheng He
Carbon capture and storage (CCS) has been identified as one of several important measures to mitigate climate change. CO2 is captured at stationary sources, and transported and injected into places such as saline aquifers or depleted hydrocarbon reservoirs for long term storage. For the purpose of design, monitoring and risk assessment of the storage, a good understanding of the CO2 trapping mechanisms is essential, which in turn relies largely on the understanding of multi-phase flow in porous media.

This study aims at achieving two objectives: i) to develop an efficient two-phase flow computational model for supercritical CO2/brine flow in porous media and ii) to deepen our understanding of the mechanisms of CO2 migration and generate quantitative information in support of the trapping model development.

The computational method to be developed will directly solve the fundamental mass, momentum and energy balance equations within a domain of a true representation of the pore geometry. Advanced finite-volume CFD methodologies will be employed to deal with the challenges involved. These will include for example applying the immersed boundary method (IBM) to effectively model the complex geometry of porous media; and employing the Volume of Fluid (VOF) method for multiphase-phase modelling. The work will involve collaboration with research groups in Leeds, Aberdeen and Tsinghua universities.
Apply online