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A Technological Parameter Optimization Approach in Crude Oil Distillation Process Based on Neural Network

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Advances in Neural Networks - ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3174))

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Abstract

Applying data analysis-based intellectual optimization approach to the industrial process optimization may improve the weakness of the mechanical model-based optimization method which is mostly based on the incomplete knowledge and understanding of a system. Therefore, it shows great application prospects. In this paper, an operating parameter optimization model of crude oil distillation process is developed using BP neural network. Then genetic algorithm is applied to search for the optimal technological parameters. Simulation results indicate that this approach is effective and practical.

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References

  1. Nascimento, C.A.O., Giudici, R., Guardani, R.: Neural Network Based Approach for Optimization of Industrial Chemical Processes. Computers & Chemical Engineering 24(9-10), 2303–2314 (2000)

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  2. Speight, J.G., Özüm, B.: Petroleum Refining Processes. Marcel Dekker, New York (2002)

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  4. Ganguly, S., Sadhukhan, J., Saraf, D.N.: Artificial Neural Network Based Estimation of Petroleum and Product Properties. Ind. Chem. Eng. Section A 44, 294–299 (2002)

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Author information

Authors and Affiliations

  1. Department of Automation, Tsinghua University, Beijing, 100084, China

    Hao Tang, Quanyi Fan & Bowen Xu

  2. Fujian refinery Petrochemical Co. Ltd, Quanzhou, Fujian, 362117, China

    Jianming Wen

Authors
  1. Hao Tang
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  2. Quanyi Fan
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  3. Bowen Xu
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  4. Jianming Wen
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Tang, H., Fan, Q., Xu, B., Wen, J. (2004). A Technological Parameter Optimization Approach in Crude Oil Distillation Process Based on Neural Network. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_138

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  • DOI: https://doi.org/10.1007/978-3-540-28648-6_138

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22843-1

  • Online ISBN: 978-3-540-28648-6

  • eBook Packages: Springer Book Archive

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