Monitoring of CO2 sequestration projects for quantification and assurance of storage security is essential for the commercial deployment of this technology. Both traditional geophysical and novel non-seismic techniques need to be developed that allow for the quantitative observation of CO2 in the subsurface at precisions higher than currently exist. In addition methods need to be developed to take into account the impact of geochemical changes within the subsurface on geophysical parameters. Faculty:Sally Benson, Gary Mavko, Jerry Harris, Lou Durlofsky
Geochemical processes are among the least understood processes in the geologic storage of CO2. However, geochemical reactions will impact storage projects as a result of chemical reactions that potentially alter the storage integrity of the cap rock, damage the reservoir and decrease injectivity, and mineralize CO2. In addition, the mineralization of CO2 to carbonate rocks provides the highest level of storage security possible, and optimizing these reactions could provide an important tool for CO2 storage. Faculty: Dennis Bird, Kate Maher, Gordon Brown, Lou Durlofsky, Hamdi Tchelepi, Gary Mavko
There is great potential for synergy between the geologic storage of CO2 and the enhanced production of hydrocarbons from oil reservoirs, gas shales, and coal-gas reservoirs. Many questions remain ranging from flow characteristics of gas in tight rocks and reservoirs of heavy oils, upscaling of flow and transport simulations, surface chemical interactions between coals and shales and CO2, and optimal production strategies from tight gas reservoirs.
Faculty: Mark Zoback, Jennifer Wilcox, Tony Kovscek, Hamdi Tchelepi, Lynn Orr
Modeling is essential to both understanding underlying physical phenomena in the geologic storage of CO2 and for optimization in the design, operation, and risk assessment of large storage projects. Within this research theme topics will include the observation of important physical parameters of the CO2- water system from experiments to be used in simulations, integrating geochemical processes into efficient reservoir simulators, computational optimization of the design and operation of projects, and the development of models to quantify reservoir performance and project risk.
Faculty: Hamdi Tchelepi, Lou Durlofsky, Sally Benson, Tony Kovscek