The key focus of the research is on the integration of different petrophysical and petrology applications from "pore to logs scale" using digital coal and logs modelling techniques. The objectives are to understand the gas flow and connectivity of the matrix porosity with cleat fracture network to predict total porosity and potential permeability behaviours for well spacing decision and reservoir optimization in CSG field life-cycle development. Using novel 3D CT modelling and other digitalizations workflow, which are the foundation of constructing digital coal tie back to borehole images and advanced petrology core analysis for coal micro-characterization.

Advisors: Professor James Underschultz, Professor Stephen Tyson, Professor Andrew Garnett

Project members

Thomas GAN

PhD candidate