ML & AI for Seismic Fault/Fracture Mapping
Tracks
Geophysics
| Tuesday, June 3, 2025 |
| 3:00 PM - 6:00 PM |
| Room 8 |
Speaker
Dr Alejandro Jaramillo
Halliburton - Landmark
3D Fault Imaging Enhanced by Frequency-Dependent CNN models and Fault Network analysis: A Barents Sea example
3:00 PM - 3:20 PM
Dr Zhaohui Song
Sinopec Petroleum Exploration and Production Research Institute
Seismic Waveform-Constrained Multi-Task Deep Learning Fracture Prediction ——A Potential New Paradigm of Transfer learning
3:20 PM - 3:40 PM
Mr Harry Whittaker
Customer Support Geoscientist
Geoteric
Using AI for a data-driven multi-azimuthal fault study in South Arne, Danish North Sea
3:40 PM - 4:00 PM
Dr Lucas Tortarolo
Eliis
Deep-learning-based extraction of complex features used to clarify turbidite-volcanism interplay in the Campos Basin.
4:00 PM - 4:20 PM
Mr Xian Yong Huang
China University Of Petroleum (East China)
Fusion of multi-azimuth seismic coherence attributes based on unsupervised deep learning
4:40 PM - 5:00 PM
Mr Mahendra AditiaKusuma
Senior Geophysicist
Shell UK Limited
Using geological knowledge to guide Machine Learning: Seismic fault interpretation of Puffin field, UK
5:00 PM - 5:20 PM
Ms Songmei Deng
China University Of Petroleum(East China)
A lightweight multi-scale deformable attention network for seismic fault detection
5:20 PM - 5:40 PM
Prof. Guillaume Caumon
Professor
University of Lorraine
Human interpretation, machine learning and point processes for the identification of faults on seismic sections
5:40 PM - 6:00 PM
