Fault Identification of U-Net Based on Enhanced Feature Fusion and Attention Mechanism

Accurate fault identification is essential for geological interpretation and reservoir exploitation. However, the unclear and noisy composition of seismic data makes it difficult to identify the complete fault structure using conventional methods. Thus, we have developed an attentional U-shaped netw...

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Bibliographic Details
Main Authors: Qifeng Sun, Xin Wang, Hongsheng Ni, Faming Gong, Qizhen Du
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/12/2562