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Selection of Artificial Lift Methods: A Brief Review and New Model Based on Fuzzy Logic

Author

Listed:
  • Miroslav Crnogorac

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Miloš Tanasijević

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Dušan Danilović

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Vesna Karović Maričić

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Branko Leković

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

Abstract

Artificial lift methods have applications in oil wells where oil production is no longer possible due to natural reservoir energy, so this necessary energy is added by introducing lift methods. In order to achieve optimum production, the selection of an artificial lift method is very important. This paper uses fuzzy logic as a mathematical and conceptual model for selection of the optimal artificial lift method. The outcome or IF-THEN rules, as the central part of the model, is based on empirical data from the selected oil fields. Results are presented in two ways: according to the surfaces of irregular geometric bodies, and their gravity with the scattering of results, i.e., on smaller and greater possibilities of interpreting results when there are small differences in outputs. Finally, a sensitivity analysis of the model is presented.

Suggested Citation

  • Miroslav Crnogorac & Miloš Tanasijević & Dušan Danilović & Vesna Karović Maričić & Branko Leković, 2020. "Selection of Artificial Lift Methods: A Brief Review and New Model Based on Fuzzy Logic," Energies, MDPI, vol. 13(7), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1758-:d:342102
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    Citations

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    Cited by:

    1. Stevan Djenadic & Milos Tanasijevic & Predrag Jovancic & Dragan Ignjatovic & Dejan Petrovic & Ugljesa Bugaric, 2022. "Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM," Mathematics, MDPI, vol. 10(5), pages 1-26, March.
    2. Xiaolei Wang & Xuezhang Feng & Jinbo Liu & Jiangling Hong & Jinsong Yao & Honglei Liu & Zelin Liu & Guoqing Han, 2023. "Optimization of the Well Start-Up Procedure and Operating Parameters for ESP Gas Well Dewatering," Sustainability, MDPI, vol. 15(2), pages 1-12, January.
    3. Jaroslaw Krzywanski, 2022. "Advanced AI Applications in Energy and Environmental Engineering Systems," Energies, MDPI, vol. 15(15), pages 1-3, August.
    4. Miljan Gomilanovic & Milos Tanasijevic & Sasa Stepanovic, 2022. "Determining the Availability of Continuous Systems at Open Pits Applying Fuzzy Logic," Energies, MDPI, vol. 15(18), pages 1-24, September.

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