FaultVitNet: A Vision Transformer Assisted Network for 3D Fault Segmentation
Abstract Fault detection and identification are pivotal in seismic interpretation, benefitting reservoir characterization and hydrocarbon exploration. Classic fault segmentation methods are mainly based on seismic attributes. With the rapid development of computational power, numerous deep learning...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024JH000488 |
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