This project has two themes that aims to provide meaningful research outcomes for the scale-up of the carbon capture, utilization and storage (CCUS), including (1) evaluation and optimization of CO2 plume geothermal (CPG) system in deep sedimentary reservoirs; and (2) development of a cloud-based data-driven modelling, optimization, and decision-making system for subsurface energy development (GeoCloud). Theme 1 is anticipated to address the challenge that brine-based geothermal system is not particularly economic in the deep sedimentary reservoirs in Canada. DEEP Geothermal Corp. has raised and received $50 M funding to build >100 MW geothermal power facilities; thus, they are motivated to investigate the feasibility of CPG operation in southern Saskatchewan and implement CPG in the DEEP geothermal projects. Alberta Innovates will support theme 2, focusing on developing a data-driven decision-support platform using geophysical, geological and multimodal sensing data for CCUS value chain.
Geotechnical and Geo-environmental Graduate Award
Award
Coupled Flow-Geomechanics Surrogate Model with Flexible Boundary Conditions for Geological CO2 Storage Using Fourier Neural Operator Based Gated Recurrent Network
Conference Proceedings
Development of a convolutional neural network based geomechanical upscaling technique for heterogeneous geological reservoir
Peer-Reviewed Journal Article
Reducing geological uncertainty through coupled flow-geomechanics based surrogate models and rejection sampling of CO2 plume prediction
Peer-Reviewed Journal Article
Smart Coupled Flow-Geomechanical Upscaling Technique for Oil Sands
Conference Proceedings