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

Miroslav Crnogorac, Miloš Tanasijević, Dušan Danilović, Vesna Karović Maričić and Branko Leković
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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

Energies, 2020, vol. 13, issue 7, 1-15

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.

Keywords: artificial lift; oil production; fuzzy logic; decision making; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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