ML & AI for Seismic Characterisation: Properties I
Tracks
Geophysics
| Wednesday, June 10, 2026 |
| 8:30 AM - 11:30 AM |
| Room 08 |
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
8:30 AM - 8:50 AM
Mr Qiang Ge
CNPC
Physics-constrained Deep Learning for Pre-stack Seismic Inversion: Application to Tight Sandstone Reservoirs in China's Sichuan Basin
8:50 AM - 9:10 AM
Mr Shohei Ishinabe
INPEX
Physics-Constrained Deep Neural Network-Based AVO Inversion without Prior Knowledge
9:10 AM - 9:30 AM
Ziqiang Wang
China University Of Petroleum East China
Interpretable Rock Elastic Modulus Prediction from Vision Foundation Model–Encoded Microstructural Representations
9:30 AM - 9:50 AM
Dr Jeonghun Yoo
SK earthon
Physics-guided multi-task learning for simultaneous IP-IS inversion with domain adaptation
10:10 AM - 10:30 AM
Mr Kirill Siraev
Geophysicist
GeoSoftware
Full Elastic Wave Equation and Rock Physics Guided Machine Learning for Reservoir Property Prediction
10:30 AM - 10:50 AM
Mr Long Han
University of Science and Technology of China
A Universal Diffusion Regularizer for Seismic Impedance Inversion
10:50 AM - 11:10 AM
Dr Tatiana Kalinicheva
Bp
Deep-learning-based optical flow interpolation of sparsely sampled seismic images for interpretation
11:10 AM - 11:30 AM
Mr Orkhan Mammadov
Computational Geoscientist
WAVERITY
Brownfield Reservoir Potential Evaluation using Integration of AI-Enhanced Seismic and Well Data
11:10 AM - 11:30 AMChair A
George Ghon
SME - Subsurface and Digitalization
Capgemini
