Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs

Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs

Abstract A Sequence-Variable Attention Temporal Convolutional Network (SVA-TCN) is proposed for lithology classification based on well log data. This study aims to address the issue that native TCN pays insufficient attention to crucial logging variables and sequence structural features in well log...

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Bibliographic Details
Main Authors: Hanlin Feng, Zitong Zhang, Chunlei Zhang, Chengcheng Zhong, Qiaoyu Ma
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Lithology identification
Temporal convolutional network
Attention mechanism
Volcanic reservoir
Well logs
Online Access:https://doi.org/10.1007/s13202-024-01887-4
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https://doi.org/10.1007/s13202-024-01887-4

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