Simulation-Based Forecasting and Monitoring of Subsurface Behaviour of Carbon Dioxide

SIMULATION-BASED FORECASTING AND MONITORING OF SUBSURFACE BEHAVIOUR OF CARBON DIOXIDE
Lutz Gross (University of Queensland), Andre Revil (Université Savoie Mont Blanc, France), Stephan K. Matthai

Accurate simulation, forecasting, and monitoring of carbon dioxide behaviour is a prerequisite for safe and cost-effective subsurface CO2 abatement. Supporting the Australian clean coal and energy sectors in this quest, with tools and expertise that will boost productivity by transforming traditional discipline-separated sequential workflows, is the goal of this reservoir engineering - hydrogeophysics - simulation-guided engineering project. Via new multiphysics software integrating: 1) fine-grained parallel space-time adaptive injection simulation, 2) forecasting of the CO2 -plume geophysical signature, 3) inverse analysis of the plume, and 4) simulation-driven design of injection and monitoring systems, we will improve subsurface knowledge and advance the understanding of Australia’s storage capacity. Demonstration and validation of this new carbon dioxide storage methodology will occur with datasets from Otway, Aquistore and a Chinese CCS site.