ML & AI for Seismic Facies Classification
Tracks
Geophysics
| Wednesday, June 12, 2024 |
| 8:30 AM - 11:30 AM |
| Room 2 (Hall E) |
Speaker
Ms Anna Rumyantseva
Senior Geoscientist
CGG
Detailed mapping of sand injectites integrating seismic attributes and machine learning in the Norwegian North Sea
8:30 AM - 8:50 AM
Dr Mark Roberts
Tgs
A Comparative Study of the Application of 2D and 3D CNNs for Salt Segmentation
8:50 AM - 9:10 AM
Dr Cagil Karakas
G&g Subject Matter Expert
SLB
Automated Seepage Detection for CO2 Storage Site Characterization
9:10 AM - 9:30 AM
Venkatesh Anantharamu
Ikon Science
Comparative Study of Advanced Machine Learning Methods for Reservoir Property Prediction and Optimizing Production
9:30 AM - 9:50 AM
Mr Jiarun Yang
University of Science and Technology of China
Deep learning for simultaneous karst and channel detection
10:10 AM - 10:30 AM
Dr Yandong Li
Senior Geophysicist
Research Institute of Petroleum E&D PetroChina
Subsalt carbonate reservoir characterization using theory-guided deep neural networks: A case study from Ordos Basin, China
10:30 AM - 10:50 AM
Mr Hoang Nguyen
Geo-data Scientist
Earth Science Analytics AS
Integrated Machine Learning Approaches for Accelerated Understanding of Sand Injectites-Fault Relationships in Exploration and CO2 Storage
10:50 AM - 11:10 AM
Mr Gourav Jaiswal
MTech Student
IIT Kanpur
Advancing Seismic Facies Classification: A Comparative Deep Learning Approach
11:10 AM - 11:30 AMChairperson
Victor Aarre Madsen
Consultant
Johannes Amtmann
CEO
Geosaic GmbH
