Chengzhe Yin

ORCID: 0000-0003-0067-7989
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About
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Research Areas
  • Oil and Gas Production Techniques
  • Drilling and Well Engineering
  • Reservoir Engineering and Simulation Methods
  • Fault Detection and Control Systems
  • Engineering Diagnostics and Reliability

China University of Petroleum, East China
2023-2024

Summary During sucker rod pump production, there is a commonly seen problem of class imbalance, which refers to the differences in amount data accumulated under different working conditions. This diagnosis can lead unsatisfactory classification results surface dynamometer cards conditions with fewer samples. Therefore, this study adopts conditional generative adversarial nets (CGANs) improved by mini-batch method address imbalance. CGAN an efficient multiclass generation, learns properties...

10.2118/214661-pa article EN SPE Journal 2023-02-28

The warning of the potential faults occurring in future a sucker rod well can help technicians adjust production strategies time. It is great significance for safety during production. In this paper, key characteristic parameters dynamometer cards were predicted by temporal neural network to implement different working conditions which might result failures. First, one-dimensional damped-wave equation was used eliminate dynamic loads’ effect surface converting them into down-hole cards....

10.3390/math12142253 article EN cc-by Mathematics 2024-07-19

In the production of sucker rod well, dynamic liquid level is important for efficiency and safety in lifting process. It influenced by multi-source data which need to be combined real-time calculation. this paper, are regarded as different views including load wellbore, image dynamometer card dynamics parameters. These can fused multi-branch neural network with special fusion layer. With method, features extracted considering difference modality physical meaning between them. Then,...

10.1016/j.petsci.2024.05.005 article EN cc-by-nc-nd Petroleum Science 2024-05-09

10.1109/icsp62122.2024.10743814 article EN 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) 2024-04-19
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