ML & AI for Seismic Property Prediction I
Tracks
Geophysics
| Thursday, June 5, 2025 |
| 3:00 PM - 6:00 PM |
| Room 8 |
Speaker
Mr Jiwei Zhang
Msc Student
China University Of Petroleum (East China)
Deep learning-based seismic impedance inversion method using a dual-branch architecture model
3:00 PM - 3:20 PM
Mr Hifzhul Arif Ahmad Munif
Geophysicist
Petronas Carigali Sdn Bhd
Complexity Unravelled: Exploring Subsurface Properties from Deep Learning Seismic Reconstruction
3:20 PM - 3:40 PM
Mr Nicolas Cordoba
Universidad Industrial de Santander
Reservoir porosity estimation from post-stack seismic using deep learning constrained by well-porosity: A near-field application.
3:40 PM - 4:00 PM
Dr Mingxuan Li
China University Of Petroleum, Beijing
Intelligent Gas-bearing Prediction of Tight Sandstone Reservoirs Guided by Geological Accumulation Characteristics and Well-Seismic Information
4:00 PM - 4:20 PM
Mr Kjetil Westeng
Advanced Petrophysicist
Aker BP ASA
Automatic Preparation of Well Logs for Geophysics Using Machine Learning and Automation
4:40 PM - 5:00 PM
Dr Weihua Jia
Sinopec Geophysical Research Institute Co., Ltd
Integrated well logging data and seismic attributes data for prediction TOC with LightGBM method
5:00 PM - 5:20 PM
Mr Marcus Saraiva
PETROBRAS
Geophysics-informed neural network for model-based seismic inversion using surrogate point spread functions
5:20 PM - 5:40 PM
Mr Gang Feng
Research Institute Of Petroleum Exploration And Development-northwest (NWGI), Petrochina
Reservoir porosity prediction based on deep learning and attention mechanism
5:40 PM - 6:00 PM
