Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-233-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-17-233-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
12 Mar 2026
Research article |  | 12 Mar 2026

A Bayesian-optimized convolutional neural network bidirectional gated recurrent unit model for dynamometer card reconstruction in beam pumping units

Zhewei Ye, Changjiang Li, Zhang Liu, and Hao Wang

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Short summary
This study introduces an AI model to reconstruct oil well pump performance charts. By analyzing pump data, it predicts load patterns, helping engineers detect issues early and improve efficiency. Using advanced learning with automated parameter optimization, it outperforms traditional methods and supports safer, more efficient well operations.
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