ML & AI for Seismic Interpretation: Faults and Fractures
Tracks
Geophysics
| Tuesday, June 9, 2026 |
| 8:30 AM - 11:30 AM |
| Room 8 |
Speaker
Dr Lucas Tortarolo
Product Analyst
Eliis
Topology Matters: Semi-Automated Refinement of AI-Derived Fault Networks for Migration and Connectivity Screening
8:30 AM - 8:50 AM
Mr Ruiyu Gao
Sinopec Geophysical Research Institute
Deep learning-based prediction of complex strike-slip faults using 3D forward modeling data
8:50 AM - 9:10 AM
Mr Chaofan Ke
BGP, CNPC
Building a 3D Fault Training Dataset from Multiple Seismic Surveys: A Central Sichuan Basin Case Study
9:10 AM - 9:30 AM
Dr Ryan Williams
Senior Geoscientist
Harbour Energy
Unlocking Joanne Dome Ekofisk Chalk: De-risking Hydraulic Fracturing with AI-Fault Detection and Colour Blend Forward Modelling
9:30 AM - 9:50 AM
Mr Jaehyeok Ko
Msc Student
Inha University
Uncertainty Quantification in Seismic Fault Detection Using Conditional Diffusion-based Model
10:10 AM - 10:30 AM
Mr Matheus Nilo
PhD Student
GIECAR
When resolution matters: Multiscale impacts in automatic fault extraction applied to OBN data in Brazilian Pre-Salt
10:30 AM - 10:50 AM
Mr Gareth Poole
Senior Geophysicist
NEO NEXT+
Integrating Geological Interpretation and Machine Learning for Improved Fault Mapping in UK Jurassic Brent Province
10:50 AM - 11:10 AM
Mr Ruiyu Gao
Sinopec Geophysical Research Institute
Fracture-cavity body prediction using a deep learning method based on 3D forward modeling data
11:10 AM - 11:30 AM
