ML & AI for Velocity Model Building

Tracks
Geophysics
Tuesday, June 11, 2024
2:30 PM - 5:30 PM
Room 9 (Hall E)

Speaker

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Mr Randy Harsuko
Ph.d. Student
King Abdullah University of Science and Technology

VelocityGPT: A sequential depth-wise velocity model generator in an autoregressive framework

2:30 PM - 2:50 PM
Dr Fu Wang
KAUST

Controllable velocity synthesis using generative diffusion models

2:50 PM - 3:10 PM
Dr Wenyi Hu
Global ML/AI Scientist
SLB

Generating 3D Seismic Image from Sparse 2D Lines with Artificial Intelligence

3:10 PM - 3:30 PM
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Dr Oleg Ovcharenko
Solutions Architect
NVIDIA

Text-Guided Well Log-Constrained Realistic Subsurface Model Generation via Stable Diffusion

3:30 PM - 3:50 PM
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Dr Sean Crawley
Pgs

Shortening turnaround time for high-resolution velocity model building with deep learning

4:10 PM - 4:30 PM
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Mr Yuke Xie
Ph.d. Student
Mines Paris - PSL Research University

Deep Generative Models for Stochastic Seismic Imaging and Uncertainty Quantification

4:30 PM - 4:50 PM
Diego Barrera
Senai Cimatec

A PINN Eikonal Equation Solution for the Marchenko Method First Arrivals

4:50 PM - 5:10 PM
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Prof. Chao Song
Professor
Jilin University

Model generalization: simulating seismic traveltimes for variable velocity models using PIFNO

5:10 PM - 5:30 PM

Chairperson

Sriram Arasanipalai
Area Manager
PGS

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Junxiao Li
Researcher
PETRONAS

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