Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

Seismic interpretation is a crucial task in geophysics, requiring accurate prediction of subsurface layer thickness and seismic wave velocity. Traditional methods are computationally intensive and often hindered by noise in seismic data. Deep learning offers a promising solution to analyze complex g...

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Bibliographic Details
Main Authors: Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
geoscience
knowledge distillation
seismic exploration
Online Access:https://ieeexplore.ieee.org/document/10812724/

Internet

https://ieeexplore.ieee.org/document/10812724/

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