Optimization of Oil Production Using Sucker Rod Pumps via Predictive Elimination of Paraffin Issues

Jankov, Stevica; Novaković, Borivoj; Marković, Milan; Šarenac, Uroš; Landup, Dejan; Premčevski, Velibor; Đorđević, Luka

doi:10.3390/app16031590

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Open AccessArticle

Optimization of Oil Production Using Sucker Rod Pumps via Predictive Elimination of Paraffin Issues

by

Stevica Jankov

¹

,

Borivoj Novaković

^2,*

,

Milan Marković

²

,

Uroš Šarenac

²,

Dejan Landup

²,

Velibor Premčevski

²

and

Luka Đorđević

²

¹

NAFTAGAS—Oil Services LLC, 21000 Novi Sad, Serbia

²

Technical Faculty “Mihajlo Pupin” Zrenjanin, University of Novi Sad, 23000 Zrenjanin, Serbia

^*

Author to whom correspondence should be addressed.

Appl. Sci. 2026, 16(3), 1590; https://doi.org/10.3390/app16031590

Submission received: 19 January 2026 / Revised: 30 January 2026 / Accepted: 2 February 2026 / Published: 4 February 2026

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Abstract

This paper explores the application of predictive maintenance (PdM) to address paraffin deposition in sucker rod pump systems used for oil production. System maintenance has become critical for enhancing efficiency and reducing costs, while PdM, supported by advanced analytics and sensors, enables downtime prediction and maintenance optimization. Paraffin deposition is a significant problem in the oil industry, as it diminishes production capacity and increases expenses. This paper presents the use of the SCADA system, which enables the collection and analysis of data in real time. Furthermore, it proposes diagnostic methods for early detection of paraffin deposition using predictive maintenance, offering timely warnings to prevent production delays. While the proposed framework relies on interpretable statistical and physics-informed predictive models, the results indicate that further improvements could be achieved by integrating advanced artificial intelligence techniques to enhance adaptability, automation, and decision support in predictive maintenance systems.

Keywords: oil production; paraffin; SCADA; efficiency; predictive maintenance

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MDPI and ACS Style

Jankov, S.; Novaković, B.; Marković, M.; Šarenac, U.; Landup, D.; Premčevski, V.; Đorđević, L. Optimization of Oil Production Using Sucker Rod Pumps via Predictive Elimination of Paraffin Issues. Appl. Sci. 2026, 16, 1590. https://doi.org/10.3390/app16031590

AMA Style

Jankov S, Novaković B, Marković M, Šarenac U, Landup D, Premčevski V, Đorđević L. Optimization of Oil Production Using Sucker Rod Pumps via Predictive Elimination of Paraffin Issues. Applied Sciences. 2026; 16(3):1590. https://doi.org/10.3390/app16031590

Chicago/Turabian Style

Jankov, Stevica, Borivoj Novaković, Milan Marković, Uroš Šarenac, Dejan Landup, Velibor Premčevski, and Luka Đorđević. 2026. "Optimization of Oil Production Using Sucker Rod Pumps via Predictive Elimination of Paraffin Issues" Applied Sciences 16, no. 3: 1590. https://doi.org/10.3390/app16031590

APA Style

Jankov, S., Novaković, B., Marković, M., Šarenac, U., Landup, D., Premčevski, V., & Đorđević, L. (2026). Optimization of Oil Production Using Sucker Rod Pumps via Predictive Elimination of Paraffin Issues. Applied Sciences, 16(3), 1590. https://doi.org/10.3390/app16031590

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Optimization of Oil Production Using Sucker Rod Pumps via Predictive Elimination of Paraffin Issues

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