ML & AI for Seismic Interpretation: Faults and Conditioning
Tracks
Geophysics
| Wednesday, June 12, 2024 |
| 2:30 PM - 5:30 PM |
| Room 2 (Hall E) |
Speaker
Mr Daniel Miranda
Petrobras
Self-Supervised Learning and Vision Transformers for Seismic Data Analysis
2:30 PM - 2:50 PM
Mr Ammar Ghanim
Research Associate
Fraunhofer ITWM
Introducing user-control in deep learning seismic gather conditioning for quantitative interpretation
2:50 PM - 3:10 PM
Senhor Matheus Nilo
MSc Student
Universidade Federal Fluminense
A preconditioning workflow for seismic fault interpretation using deep learning applications in the Brazilian pre-salt
3:10 PM - 3:30 PM
Ms Yu Liu
University of Science and Technology of China
Low-order faults identification of carbonate reservoir based on 3D attention-based U-Net
3:30 PM - 3:50 PM
Mr Dan Ferdinand Fernandez
Subject Matter Expert - Interpretation
SLB
Comparing 2D and 3D convolutional neural networks to predict fault surfaces for structural model building.
4:10 PM - 4:30 PM
Mr Shuangshuang Zhou
China University of Petroleum (East China)
Fracture prediction with multiple wide-azimuth seismic attributes based on integrated learning
4:30 PM - 4:50 PM
Mr Boshara Merghani Arshin Sukar
Postgraduate Research
Heriot-Watt University
Multi-vintage deep learning 4D seismic noise suppression: Application to Snorre repeated seismic data
4:50 PM - 5:10 PM
Mr Hanlin Sheng
Phd
University Of Science And Technology Of China
Seismic Foundation Model (SFM): All-Purpose Feature Extraction from Seismic Data for Diverse Geophysical Applications
5:10 PM - 5:30 PMChairperson
Aria Abubakar
Head of Data Science & Advisor
SLB
Oddgeir Gramstad
Advanced Data Scientist
Aker BP
