CCUS - Advances in CCS Subsurface Modelling

Thursday, 14 March

1300 - 1430

Arabian

Technical

Subsurface modeling has been a pivotal approach for the development, forecasting, and risk management of CCS hubs. In this session, we will delve into the latest advancements in CCS subsurface modeling, including predictions of CCS behavior, caprock integrity, and the application of machine learning for estimating CO2 plume size.

Chairperson

Mike Exner - CMG

Vicky Wang - GLJ

1300-1330 218059
A System Identification Approach for Spatio-temporal Prediction of CO2 Storage Operation in Deep Saline Aquifers

A. Ganesh, A. Rangriz Shokri, Y. Peralta, G. Zambrano, R. Chalaturnyk, University of Alberta; E. Nickel, Petroleum Technology Research Centre
1330-1400 218069
Coupled Geomechanical Model and 3D Dynamic Flow Simulation for the Potential Co2 Injection into Deep Aquifer Siluro-Devonian Carbonate Formations, Delaware Basin

S. Nguyen, J. Tu, T. Nguyen, W. Ampomah, J. Simmons, D. Bui, New Mexico Institute of Mining and Technology
1400-1430 218050
Uncertainty Quantification through the Assimilation of Co₂ Plume Size from 4D Seismic Survey

W. Ben Saleh, B. Zhang, University of Alberta
Alternate 218080
Geomechanical Modeling and Minimum Fracture Pressure Prediction of Co₂ Storage Reservoir Caprock in the Lloydminster Area

C. SHEN, Y. Chang, F. Zeng, University of Regina; Z. Li, PetroChina; B. Zhang, China University of Mining and Technology
Alternate
Pore Space and Confinement Evaluation for Maximizing Simulated CO2 Injection Programs

J. Bynum, Baker Hughes

2024 Technical Program

CCUS - Advances in CCS Subsurface Modelling