Application of Dual-Stage Attention Temporal Convolutional Networks in Gas Well Production Prediction

Application of Dual-Stage Attention Temporal Convolutional Networks in Gas Well Production Prediction

Effective production prediction is vital for optimizing energy resource management, designing efficient extraction strategies, minimizing operational risks, and informing strategic investment decisions within the energy sector. This paper introduces a Dual-Stage Attention Temporal Convolutional Netw...

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Bibliographic Details
Main Authors: Xianlin Ma, Long Zhang, Jie Zhan, Shilong Chang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
attention mechanism
production prediction
tight gas
time convolutional networks
Online Access:https://www.mdpi.com/2227-7390/12/24/3896
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