Session 9A: Advanced Modeling and Monitoring
Tracks
Track 1
Wednesday, July 2, 2025 |
2:30 PM - 3:30 PM |
Speaker
Dr Mike Branston
Principal Geophysicist
SLB
An Example of Adaptive Seismic Monitoring of CCS Using the SEAM CO2 Model
2:30 PM - 2:50 PMBiography
Dr Mike Branston is the New Energy Domain Lead for Exploration Data (EXD).
Dr Branston holds both a BSc and a PhD in geophysics and was awarded Chartered Geologist status by the Geological Society of London in 2006. During his 25-year career he has been based in Norway, the UK, Qatar and Malaysia. Throughout his career he has been focused on designing technical solutions to subsurface imaging and monitoring challenges.
Dr Roman Isaenkov
Research Fellow
Curtin University
Borehole Seismic Monitoring of Shallow CO2 Controlled Release Experiment: Otway Project Field Case Study
2:50 PM - 3:10 PMBiography
Dr Konstantin Tertyshnikov received a doctorate degree in geophysics from Curtin University (Australia) in 2014. He was a lead geophysicist on exploration projects in Europe and the Middle East. He is a senior research fellow at the Centre for Exploration Geophysics at Curtin University. His main research focus is distributed acoustic sensing technologies, CO2 geosequestration, borehole seismic, mineral exploration, and seismic acquisition.
Dr Tea-woo Kim
Senior Researcher
Korea Institute of Geoscience and Mineral Resources (KIGAM)
Optimizing Carbon Capture and Storage (CCS) Design Using Multi-objective Optimization and Dynamic IPR-OPR Nodal Analysis
3:10 PM - 3:30 PMBiography
Dr. Tea-woo Kim is a Senior Researcher at the Korea Institute of Geoscience and Mineral Resources (KIGAM), specializing in CO₂ geological storage, flow assurance, and integrated CCS (Carbon Capture and Storage) system modeling. With a Ph.D. in Petroleum Engineering from The University of Tulsa, his research focuses on CO₂ transportation, injection optimization, and AI-driven predictive modeling.
Throughout his career, Dr. Kim has contributed significantly to the development of integrated CCS models, applying multi-objective optimization and nodal analysis to enhance early-stage demonstration projects. His expertise extends to pipeline and ship-based CO₂ transport analysis, including critical aspects such as corrosion, phase behavior, and hydrate management. His work integrates machine learning and deep learning applications to improve storage security and efficiency.
