Theme: | Carbon CUS (T02) |
Status: | Active |
Start Date: | 2022-04-01 |
End Date: | 2025-03-31 |
Website: | |
Principal Investigator |
Zhang, Bo |
Project Overview
This project focuses on geological carbon storage (GCS) in deep sedimentary formations where limited geological information is available. Leveraging the available data for measurement, monitoring, and verification (MMV) program in ongoing GCS projects, an integrated data assimilation and optimization workflow will be developed to manage the geological uncertainty throughout the project life.
The proposed methodology will provide optimization for injection scheme and monitoring strategy in onshore deep saline formation with comparable geology. The injectivity and storage capacity are the two major metrics while also consider the potential containment risks, including caprock failure, re-activation of faults, and contamination of groundwater. The proposed workflow for uncertainty quantification and optimization is anticipated to provide guidance on the new or expended GCS projects with geological uncertainty.
Outputs
Title |
Category |
Date |
Authors |
Alberta Graduate Excellence Scholarship | Award | 2024-01-01 | Arqam Muqtadir |
Development of a convolutional neural network based geomechanical upscaling technique for heterogeneous geological reservoir University of Alberta | Publication | 2024-06-01 | Zhiwei Ma, Xiaoyan Ou, Zhang, B. |
2022-2023 Progress report for "Uncertainty quantification and optimization for the scale-up of geological carbon storage"Progress report summarizing research progress from September 2022 to April 2023. University of Alberta | Publication | 2023-03-31 | Walid Ben Saleh, Zhang, B. |
3D Thermal-Hydro-Mechanical Geocellular Modeling and Evaluation of CO2 Plume Geothermal in Southern SaskatchewanInternal report prepared for our collaborative project with NRCan and DEEP Geothermal. A published final report will be submitted to NRCan in late 2024. University of Alberta | Publication | 2024-05-01 | Arqam Muqtadir, Zhang, B. |