ML & AI for Seismic Property Prediction II
Tracks
Geophysics
| Thursday, June 5, 2025 |
| 9:00 AM - 12:00 PM |
| Room 8 |
Speaker
Dr Nisar Ahmed
Postdoctoral Fellow in Geosciences
University Of Stavanger
Reservoir elastic properties prediction using supervised deep learning versus model-based inversion methods
9:00 AM - 9:20 AM
Mr Mohammad Ghasem Fakhari
Pezhvak Energy
A Novel Approach for Forward and Inverse Rock Physics Modelling Using Coupled Deep Learning Networks
9:20 AM - 9:40 AM
Mr Mohammad Ghasem Fakhari
Pezhvak Energy
Distinguishing between gas chimneys and shallow gas-bearing sediments
9:40 AM - 10:00 AM
Dr Othman Al-Harrasi
Surveillance Geophysicist
PDO - Petroleum Development Oman
Shaping the Future of Reservoir Characterization: Machine Learning in Action – A Case Study from Oman
10:00 AM - 10:20 AM
Dr Kaveh Dehghan
CTO
LithoSight
Agentic AI in Geoscience: Advancing Predictive Models for Agile Decision-Making
10:40 AM - 11:00 AM
Dr Hamed Heidari
Research Fellow
Heriot-Watt University
Application of data-driven and geostatistics-guided machine learning for petroelastic modelling
11:00 AM - 11:20 AM
Mr Qingwen Zheng
China University Of Petroleum (East China)
Intelligent seismic inversion using the frequency-domain numerical stability module
11:20 AM - 11:40 AM
Dr Degang Wu
China University Of Petroleum-BeiJing
Sand inversion method with a convolutional neural network introducing frequency decomposition attention mechanisms
11:40 AM - 12:00 PM
