Microseismic Data-Direct Velocity Modeling Method Based on a Modified Attention U-Net Architecture

Microseismic Data-Direct Velocity Modeling Method Based on a Modified Attention U-Net Architecture

In microseismic monitoring, the reconstruction of a reliable velocity model is essential for precise seismic source localization and subsurface imaging. However, traditional methods for microseismic velocity inversion face challenges in terms of precision and computational efficiency. In this paper,...

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Bibliographic Details
Main Authors: Yixiu Zhou, Liguo Han, Pan Zhang, Jingwen Zeng, Xujia Shang, Wensha Huang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
microseismic
velocity model
deep learning
Attention U-Net
Online Access:https://www.mdpi.com/2076-3417/13/20/11166

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