Prediction of Plunger Lift Dynamics Using a Bidirectional Long Short-Term Memory Neural Network with an Innovative Forecasting Strategy-Reference-Cited by-同舟云学术

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Prediction of Plunger Lift Dynamics Using a Bidirectional Long Short-Term Memory Neural Network with an Innovative Forecasting Strategy

Published:2024-02-27 Issue: Volume: Page:80-85
ISSN:
Container-title:2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
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Author:

Zhong Zikang¹,Wang Haoyu²,Li Nan²,Zhu Haiwen³,Zhu Jianjun³,Wang Jianli¹

Affiliation:

1. Southeast University,Nanjing,China

2. Research Institute of Exploration & Development,PetroChina,Beijing,China

3. China University of Petroleum,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10485650/10485652/10485764.pdf?arnumber=10485764

Reference12 articles.

1. Advances in research and developments on natural gas hydrate extraction with gas exchange

2. Prediction of liquid loading in gas wells;Nallaparaju,2012

3. Recognizing Symptoms of Liquid Loading in Gas Wells

4. Improved Data Mining for Production Diagnosis of Gas Wells with Plunger Lift through Dynamic Simulations

5. Application of machine learning algorithms to predict tubing pressure in intermittent gas lift wells

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of artificial intelligence algorithms in artificial lift systems: A critical review;Flow Measurement and Instrumentation;2024-07

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