Transformer and Convolutional Hybrid Neural Network for Seismic Impedance Inversion

Transformer and Convolutional Hybrid Neural Network for Seismic Impedance Inversion

The inversion of elastic parameters especially P-wave impedance is an essential task in seismic exploration. Over the years, deep learning methods have made significant achievements in seismic impedance inversion, and convolutional neural networks (CNNs) become the dominating framework relying on ex...

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Bibliographic Details
Main Authors: Chunyu Ning, Bangyu Wu, Baohai Wu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Impedance inversion
seismic data
self-supervised learning
transformer
Online Access:https://ieeexplore.ieee.org/document/10414142/

Internet

https://ieeexplore.ieee.org/document/10414142/

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