Core scale modelling of CO2 flowing: Identifying key parameters and experiment fitting

Citations of this article
Mendeley users who have this article in their library.


In this study, we propose to evaluate CO2-brine characteristics using core flooding experiment results with magnetic resonance (MR) imaging and a 1D numerical modelling approach along with a perspective on the role of CO2-brine characteristics on storage efficiency at the reservoir scale. MRI can be used to understand the pore structure and the flow characteristic of the drainage process more directly. The relative permeability curve which is the key parameter to field scale simulation can be obtained by the experiments. 1D numerical modelling is conducted to understand the results observed experimentally and the associated processes by using the parameters measured during the experiments. The modelling can explain the observed differences with the experiment through a sensitivity analysis and propose several set of parameters allowing a good match between experiments and models (history matching). It is shown that the combination method between the experiments and the modelling is a suitable method to understand the mechanism of CO2 geological storage. Moreover, the experiments can provide the validation to the modelling which is the important tool to predict the CO 2 migration underground.




Ma, J., Petrilli, D., Manceau, J. C., Xu, R., Audigane, P., Shu, L., … Le-Nindre, Y. M. (2013). Core scale modelling of CO2 flowing: Identifying key parameters and experiment fitting. In Energy Procedia (Vol. 37, pp. 5464–5472). Elsevier Ltd.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free