An Improved Transformer Framework for Well-Overflow Early Detection via Self-Supervised Learning

An Improved Transformer Framework for Well-Overflow Early Detection via Self-Supervised Learning

Oil drilling has always been considered a vital part of resource exploitation, and during which overflow is the most common and tricky threat that may cause blowout, a catastrophic accident. Therefore, to prevent further damage, it is necessary to detect overflow as early as possible. However, due t...

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Bibliographic Details
Main Authors: Wan Yi, Wei Liu, Jiasheng Fu, Lili He, Xiaosong Han
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
oil drilling
overflow
time series prediction
abnormal detection
self-supervised learning
transformer
Online Access:https://www.mdpi.com/1996-1073/15/23/8799

Internet

https://www.mdpi.com/1996-1073/15/23/8799

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