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A prediction method for the wax deposition rate based on a radial basis function neural network

  • Published:2017-06 Issue:2 Volume:3 Page:237-241
  • ISSN:2405-6561
  • Container-title:Petroleum
  • language:en
  • Short-container-title:Petroleum

Author:

Xie Ying,Xing Yu

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geology,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference16 articles.

1. A reliable model for estimating the wax deposition rate during crude oil production and processing;Kamari;Petrol. Sci. Technol.,2014

2. Progress in research wax deposition model of oil pipelines;Su;Chem. Eng. Mach.,2016

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

4. Wax Deposition of Waxy Live Crudes Under Turbulent Flow Conditions;Hsu,1994

5. Unified wax deposition model;Huang;Acta Petrol. Sin.,2008

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1. ON THE ERROR OF APPROXIMATION BY RBF NEURAL NETWORKS WITH TWO HIDDEN NODES;Proceedings of the Institute of Mathematics and Mechanics, National Academy of Sciences of Azerbaijan;2024

2. Development of Predictive Model for Wax Formation in Deep-water Pipeline Using Machine learning;Journal of Physics: Conference Series;2023-10-01

3. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II;Energies;2023-09-20

4. Research on Dynamic Prediction Model of Wax Deposition in Wellbore;Chemistry and Technology of Fuels and Oils;2023-03

5. Molecular Dynamics Data-driven Hyperelastic Constitutive Modeling Using MLP, GR, and RBF Models of Artificial Neural Network;Transactions of the Korean Society of Mechanical Engineers - A;2023-01-31
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