ML & AI for Seismic Characterisation: Properties I
Tracks
Geophysics
| Wednesday, June 10, 2026 |
| 8:30 AM - 11:30 AM |
Speaker
Dr Tengfei Chen
Qingdao,Shandong,China
China university of petroleum(East China)
Seismic Waveform Guided Intelligent Elastic Parameter Inversion Method Based on Non-Parametric Analysis and Information-Theoretic Constraints
Mr Qiang Ge
CNPC
Physics-constrained Deep Learning for Pre-stack Seismic Inversion: Application to Tight Sandstone Reservoirs in China's Sichuan Basin
Mr Shohei Ishinabe
INPEX
Physics-Constrained Deep Neural Network-Based AVO Inversion without Prior Knowledge
Mr Prat Boonyasatphan
Geophysicist
PTTEP
Geology-Driven Convolutional Neural Networks for Seismic Reservoir Characterization
Ziqiang Wang
China University Of Petroleum East China
Interpretable Rock Elastic Modulus Prediction from Vision Foundation Model–Encoded Microstructural Representations
Dr Jeonghun Yoo
SK earthon
Physics-guided multi-task learning for simultaneous IP-IS inversion with domain adaptation
Mr Kirill Siraev
Geophysicist
GeoSoftware
Full Elastic Wave Equation and Rock Physics Guided Machine Learning for Reservoir Property Prediction
Mr Long Han
University of Science and Technology of China
A Universal Diffusion Regularizer for Seismic Impedance Inversion
