Session 3A: From Data to Decisions: Applying AI/ML Across the CCS Value Chain
Tracks
Track 1
| Tuesday, September 15, 2026 |
| 4:10 PM - 5:30 PM |
Speaker
Dr Wenyi Hu
Geophysics Data Science Advisor
SLB
A Comprehensive Deep Learning Framework for Low-Cost CO2 Seismic Monitoring
4:10 PM - 4:30 PMBiography
Wenyi Hu received his Ph.D. degree in Electrical Engineering from Duke University in 2005. He is the Geophysics Data Science Advisor at SLB. His active research interests include seismic imaging, inversion, and modelling, large-scale numerical computation, signal processing, subsurface CO2 monitoring, and machine learning and data analytics.
Dr Haibin Di
Senior Data Sciensist
SLB
Automated CO2 Plume Extraction from 4D Migrated Seismic Images
4:30 PM - 4:50 PMBiography
Haibin Di is a Senior Data Scientist at SLB and his current focus is on building domain foundation models for subsurface interpretation.
Mr Wenhao Liang
Master
China University Of Petroleum (east China)
An Adaptive Surrogate-Model-Based Reference Vector Guided Evolutionary Algorithm for CO2-EOR and Storage Optimization
4:50 PM - 5:10 PMBiography
Wenhao Liang is a master’s student at China University of Petroleum (East China). His research focuses on oilfield development and intelligent optimization, with particular interests in CO2-enhanced oil recovery and storage, surrogate-assisted optimization, and multi-objective optimization methods.
Ms Ping Lu
Researcher
Huairou Laboratory
Integrating Diagenetic Characterization Factors into Machine Learning Models for High-precision Porosity Prediction in Tight Sandstone Reservoirs
5:10 PM - 5:30 PMBiography
Ping Lu, Ph.D. (b. 1988), Associate Research Fellow. Focuses on machine learning and reservoir evaluation. She has led three provincial/national projects and participated in three international programs. To date, Dr. Lu has published over 10 academic papers and holds 5 authorized invention patents.
