ML & AI for Seismic Imaging & Velocities-3

Tracks
Geophysics
Thursday, June 5, 2025
3:00 PM - 6:00 PM
Room 18

Speaker

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Mr Hao Zhang
Master Student
China University Of Petroleum (East China)

DiffusionVel: Multi-Information Integrated Velocity Inversion Using Generative Diffusion Model

3:00 PM - 3:20 PM
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Mr Randy Harsuko
Ph.d. Student
King Abdullah University of Science and Technology

Synthesizing realistic-scale seismic velocity models using a spatially-aware generative model

3:20 PM - 3:40 PM
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Prof. Guoxin Chen
Researcher
Zhejiang University

A robust and efficient velocity inversion method: Multi-round iterative deep learning in the sparse transform domain

3:40 PM - 4:00 PM
Ms Jun Li
Msc Student
Zhejiang University

Refined subseafloor velocity building via tomography and deep learning based on OBS data in the SCS

4:00 PM - 4:20 PM
Mr Wang Lide
Research Institute Of Petroleum Exploration & Development-northwest (nwgi), Petrochina

Research on Intelligent Time-Domain Velocity Modeling and Industrial Applications

4:40 PM - 5:00 PM
Carlos Calderon
TGS

Velocity model estimations with deep learning – field data examples with a Fourier neural operator network.

5:00 PM - 5:20 PM

Chair A

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Matteo Ravasi
Senior Research Advisor
Shearwater GeoServices


Chair B

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Mattia Speziali
Seismic Processing & Imaging Product Manager
SLB

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