Logistics University of People's Armed Police Force

A self-supervised multi-task framework for downhole fault diagnosis in oil fields: Enhancing temporal feature learning under limited labels

In newly developed oil fields, the accumulation of historical labeled data is relatively scarce, making it challenging to obtain large volumes of annotated data. To address this challenge, this paper proposes a downhole fault diagnosis framework based on a complex self-supervised...