Poster Session II
| Wednesday, September 3, 2025 |
| 13:10 - 14:10 |
Speaker
Mr Narendra Boppana
The University Of Texas Permian Basin
Leveraging Artificial Intelligence for Enhancing Carbon Capture, Utilization, and Storage (CCUS): Innovations, Challenges, and Future Directions
Dr Mesut Yurukcu
Basis Ed
A Comparative Study of Direct Sequestration and CO₂ Utilization in Subsurface Storage
Dr Mrityunjay Singh
Gfz Helmholtz Center For Geosciences
A feature-event-process framework for mitigating risks in CO2 energy storage and sequestration systems
Mr Yngve Heggelund
Norce
A framework for holistic, transdisciplinary, multi-criteria optimization of the monitoring system for geological CO2 storage
Dr Mesut Yurukcu
Basis Ed
A Review of Emerging Technologies and Innovations for Enhancing CO₂ Storage in EOR/EGR Operations
Mr Usman Abdulkadir
Heriot-watt University
A Thorough Investigation of Newly Improved CO2 Huff-and-Puff Injection for Storage and Enhancing Gas/Condensate Recovery.
Mr Narendra Boppana
The University Of Texas Permian Basin
AI-Driven Innovations in Carbon Capture, Utilization, and Storage (CCUS): Enhancing Efficiency, Cost-Effectiveness, and Predictive Modeling
Dr Mesut Yurukcu
Basis Ed
Artificial Intelligence Techniques in Carbon Capture, Utilization, and Storage (CCUS)
Mr Lucky Abiashue
Hibernia Research Group
Best Practice Approach to Measuring Density of Supercritical CO₂ and Live CO₂-Brine Mixtures at Reservoir Condition
Dr Mesut Yurukcu
Basis Ed
Carbon Capture and Storage (CCS/CCUS) Opportunities in Unconventional Shales with Machine Learning Applications
Mr Ümit Koç
Mines Paris - Psl
Comparative Hydrogeochemical Analysis of Opalinus Clay’s Lithofacies to CO2 Injection Using HYTEC
Tian Guo
IMEDEA-CSIC-UIB
Constraining the stress tensor from microseismicity focal mechanisms at Decatur
Mr Narendra Boppana
The University Of Texas Permian Basin
Enhancing EUR Forecasting in Channel Sand Reservoirs with Deep Learning Methods
Mr Narendra Boppana
The University Of Texas Permian Basin
Enhancing Condensate-Gas Ratio (CGR) Prediction in Unconventional Shale Reservoirs with a Geology-Informed Machine Learning Approach
Dr Mesut Yurukcu
Basis Ed
Strategies and Challenges for Global CO₂ Storage: Accelerating the Energy Transition with AI Support
Dr Chunqi Xue
Multi-scale synchrotron microstructure imaging and potential subsurface CO2 storage of Permian shale, China
Mr Anas Sidahmed
The University of Edinburgh
Investigation of Surface Deformation Due to THM Effects of CO2 Injection in Subsurface Formations
Ms Lady J Giraldo
Universidad Nacional De Colombia
Life Cycle Assessment of Feasibility Use of Fluegas Streams in CCUS Processes: Insight through transportation stage
Mr Emmanuel Paul Azebeokhai
Gac Norway
Modeling of Subsea CO2 Transportation and Injection Pipe Networks: The Case of Snohvit
Mr Narendra Boppana
The University Of Texas Permian Basin
Revolutionizing Carbon Capture, Utilization,and Storage (CCUS) with Artificial Intelligence and Quantum Computing: Path to Scalable Decarbonization
Dr Yashvardhan Verma
Indian Institute Of Technology Bombay
Risk assessment for a conceptual CO₂ storage project in a mature oil field in India
Mr Khaled Azem
Sigma Oil And Gas Infromation Solutions
Integrating Carbon Capture, Utilization, and Storage (CCUS) with Renewable Energy: Economic Viability and Policy Frameworks
Mr Sirous Hosseinzadeh
University Of Adelaide
Integrated 3D Geomechanical Modeling of Reservoir Deformation and Stability During CO₂ Injection
Mr Iain Campbell
University Of Adelaide
Geomechanical modelling of fault reactivation risks associated with CO2 injection in the Cooper-Eromanga Basins (Australia)
Mr Anshary Setyo
SKK Migas
Future Opportunities in Managing CCS Business Process - An HR Perspective
Dr Jung Chan Choi
Norwegian Geotechnical Institute
FracStress+: An Integrated Workflow for Fault Stability Screening in CO2 Storage
Ms Ying Huang
Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences
Feasibility and business model research on CCS cluster development in Guangdong Province, China
Mr Narendra Boppana
The University Of Texas Permian Basin
Enhancing EUR Forecasting in Tight Gas Reservoirs Using Transfer Learning and Natural Language Processing (NLP)
