Research summary
Geosystems engineering applications lack the data needed to conduct flow performance assessments that consider uncertain conditions below ground, variations in reservoirs at different scales, and interplay between flow processes at various scales. As Canada Research Chair in Data Analytics in Subsurface Flow Systems, Dr. Juliana Leung aims to address this information gap.
She and her research team are using data analytics to analyze the subsurface flow systems encountered in many energy extraction and fluid storage applications. Frequently updated data and uncertain subsurface conditions make conventional modelling workflows inefficient. To tackle this issue, Leung and her team are combining different kinds of data and employing their expertise in flow simulation. The models they develop will be used to forecast, optimize design, measure uncertainty and track environmental performance. Ultimately, their work will improve how we make use of data analysis for studying the underground fluid flows often seen in energy and storage projects.