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A novel method for prediction of paraffin deposit in sucker rod pumping system based on CNN indicator diagram feature deep learning

  • Published:2021-11 Issue: Volume:206 Page:108986
  • ISSN:0920-4105
  • Container-title:Journal of Petroleum Science and Engineering
  • language:en
  • Short-container-title:Journal of Petroleum Science and Engineering

Author:

Tian Hui,Deng Song,Wang CaibaoORCID,Ni Xingya,Wang Hao,Liu Yuan,Ma Mingyu,Wei Yaohui,Li Xiaogang

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference25 articles.

1. Understanding of a convolutional neural network;Albawi,2017

2. A critical review of the modeling of wax deposition mechanisms;Azevedo;Petrol. Sci. Technol.,2003

3. Wax deposition in crude oil pipelines;Bern,1980

4. Studies of wax deposition in the trans Alaska pipeline;Burger;J. Petrol. Technol.,1981

5. Modeling of Multiphase Wax Deposition;Elphingstone,1999

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1. Optimisation of the Smart Plunger Lift Work System and a New Method for Diagnosing Working Conditions;SPE Symposium and Exhibition - Production Enhancement and Cost Optimisation;2024-09-02

2. A Working Conditions Warning Method for Sucker Rod Wells Based on Temporal Sequence Prediction;Mathematics;2024-07-19

3. Fast high-frequency porosity characterization from computer tomography images and deep learning;GEM - International Journal on Geomathematics;2024-06-10

4. Research on the Soft-Sensing Method of Indicator Diagram of Beam Pumping Unit;Sensors;2024-03-11

5. Constructing the prediction model for oil well wax deposition and its application;Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023);2023-10-17
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