Multi-component Gas Transport in Deep Coal (2003–2005)

The understanding of multi-component gas flow in coal underlies the use, management and optimization of deep coal as an economic resource for methane recovery, CO2 sequestration, pipeline gas storage and underground gasification. This project will develop a predictive reservoir flow model for deep coal behavior under asymmetric, dynamically evolving internal and external stresses, during multi-component gas release or injection. A confluence of new tools including a large sample, high pressure, triaxial stress permeameter, and micron resolved 3D reconstruction of the coal cleat and pore structure, will provide physical parameters to the fundamentally based, competitive transport and adsorption/desorption model.''
Grant type:
ARC Discovery Projects
  • Professor
    School of Chemical Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council