Uncertainty quantification and optimization for the scale-up of geological carbon storage (GCS)

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.  

Alberta Graduate Excellence Scholarship

Arqam Muqtadir

Award

Geotechnical and Geo-environmental Graduate Award

Walid Ben Saleh

Award

2022-2023 Progress report for "Uncertainty quantification and optimization for the scale-up of geological carbon storage"

Bo Zhang, Walid Ben Saleh

Report, brief, and other forms of grey literature

3D Thermal-Hydro-Mechanical Geocellular Modeling and Evaluation of CO2 Plume Geothermal in Southern Saskatchewan

Bo Zhang, Arqam Muqtadir

Report, brief, and other forms of grey literature

Coupled Flow-Geomechanics Surrogate Model with Flexible Boundary Conditions for Geological CO2 Storage Using Fourier Neural Operator Based Gated Recurrent Network

Bo Zhang, Walid Ben Saleh, Shuxin Qiao

Conference Proceedings

Coupled flow-geomechanics machine learning enhanced upscaling (2022-2023)

Bo Zhang, Xiaoyan Ou

Report, brief, and other forms of grey literature

Development of a convolutional neural network based geomechanical upscaling technique for heterogeneous geological reservoir

Bo Zhang, Xiaoyan Ou

Peer-Reviewed Journal Article

Machine learning enhanced coupled flow-geomechanics Upscaling (2023-2024)

Bo Zhang, Xiaoyan Ou

Report, brief, and other forms of grey literature

Reducing geological uncertainty through coupled flow-geomechanics based surrogate models and rejection sampling of CO2 plume prediction

Bo Zhang, Walid Ben Saleh

Peer-Reviewed Journal Article

Smart Coupled Flow-Geomechanical Upscaling Technique for Oil Sands

Bo Zhang, Xiaoyan Ou, Shuxin Qiao

Conference Proceedings

Uncertainty Quantification Through the Assimilation of CO2 Plume Size from 4D Seismic Survey

Bo Zhang, Walid Ben Saleh

Conference Proceedings