ML & AI for Seismic Interpretation: Faults and Fractures
Tracks
Geophysics
| Tuesday, June 9, 2026 |
| 8:30 AM - 11:30 AM |
Speaker
Dr Quentin Corlay
Eliis
Topology Matters: Semi-Automated Refinement of AI-Derived Fault Networks for Migration and Connectivity Screening
Mr Ruiyu Gao
Sinopec Geophysical Research Institute
Deep learning-based prediction of complex strike-slip faults using 3D forward modeling data
Ms Wei Xiong
BGP, CNPC
Building a 3D Fault Training Dataset from Multiple Seismic Surveys: A Central Sichuan Basin Case Study
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
Mr Jaehyeok Ko
Msc Student
Inha University
Uncertainty Quantification in Seismic Fault Detection Using Conditional Diffusion-based Model
Mr Matheus Nilo
PhD Student
GIECAR
When resolution matters: Multiscale impacts in automatic fault extraction applied to OBN data in Brazilian Pre-Salt
Mr Gareth Poole
Senior Geophysicist
NEO NEXT
Integrating Geological Interpretation and Machine Learning for Improved Fault Mapping in UK Jurassic Brent Province
Mr Ruiyu Gao
Sinopec Geophysical Research Institute
Fracture-cavity body prediction using a deep learning method based on 3D forward modeling data
