AI & Machine learning applied to CCS workflows
Tracks
CCS
| Tuesday, November 3, 2026 |
| 4:20 PM - 6:00 PM |
Speaker
Dr Cihan Alan
Researcher
TU Bergakademie Freiberg
Open-Source AI-Accelerated Real-Gas Simulator for CO₂ Falloff-Test Interpretation in Depleted Gas Fields
4:20 PM - 4:40 PM
Dr Phoenix Nguyen
Heriot-Watt University
A fast-track pipeline for fault-network detection in Southeast Asian basins: application to the Malay Basin
4:40 PM - 5:00 PM
Mr Ahmed Elrahmani
Graduate Assistant - PhD Candidate
Qatar University
Controllable Generative AI for Digital Reservoir Rock: A Latent Diffusion Framework for Pore-Scale CO2 Storage Studies
5:00 PM - 5:20 PM
Bruno Cucolo
Universidade de São Paulo (USP)
U-Net reliability-weighted acoustic FWI for degraded seismic data in a simulated potential CCS reservoir
5:20 PM - 5:40 PM
Mr Satyajeet Kumar
3rd Year Student
Rajiv Gandhi Institute Of Petroleum Technology, Jais, Amethi, UttarPradesh
Advanced Deep Learning Frameworks for Accelerated Risk Mitigation and Gas Breakthrough Prediction in CCUS-EOR Operations
5:40 PM - 6:00 PM
