Selecting a Monitoring Technology for a Control System of Distributed Oil Production Facilities
| dc.citation.epage | 34 | |
| dc.citation.issue | 1 | |
| dc.citation.journalTitle | Енергетика та системи керування | |
| dc.citation.spage | 28 | |
| dc.contributor.affiliation | Національний університет “Львівська політехніка” | |
| dc.contributor.affiliation | Lviv Polytechnic National University | |
| dc.contributor.author | Лобур, Михайло | |
| dc.contributor.author | Маляр, Микола | |
| dc.contributor.author | Lobur, Mykhaylo | |
| dc.contributor.author | Maliar, Mykola | |
| dc.coverage.placename | Львів | |
| dc.coverage.placename | Lviv | |
| dc.date.accessioned | 2025-03-10T08:12:25Z | |
| dc.date.created | 2024-02-28 | |
| dc.date.issued | 2024-02-28 | |
| dc.description.abstract | В статті запропоновано структуру SCADA системи для моніторингу та керування об'єктами нафтовидобутку, які розосереджені на великій площі. Головний акцент в статті зроблено на виборі технології, яка дасть змогу здійснювати ефективний моніторинг за обладнанням кожної нафтової свердловини. Під час вибору бралися до уваги такі фактори, як надійність, зручність у користуванні, наявність засобів захисту від стороннього втручання, а також відкритість та доступність програмного коду. У результаті огляду найбільш поширених програмних платформ, було вибрано систему на основі Prometheus і Grafana. Це є поєднання сервера бази даних часових рядів Prometheus з системою візуалізації та аналізу інформації Grafana. Важливими факторами при виборі цієї платформи було наявність відкритого коду та великої бібліотеки готових шаблонів для відображення параметрів свердловини в реальному часі. Продемонстровано приклад створеного вікна візуалізації динамограми свердловини, яка побудована на основі експериментально знятих даних. | |
| dc.description.abstract | The article proposes the structure of a SCADA system for monitoring and control of oil production facilities that are distributed over a large area. The main emphasis is on the selection of technology that will enable effective monitoring of the equipment of each oil well. Factors such as reliability, ease of use, availability of protection against third-party interference, as well as availability and accessibility of an open-source software code were taken into account. After reviewing the most common software platforms, a system based on Prometheus and Grafana was selected. It is a combination of the Prometheus time series database server and the Grafana information visualization and analysis system. The important factors that determined the choice of this platform were the availability of the open source code and a large library of ready-made templates for displaying the well parameters in real time. An example of the created visualization window of the dynamometer card of the well, built on the basis of the experimentally recorded data, is presented. | |
| dc.format.extent | 28-34 | |
| dc.format.pages | 7 | |
| dc.identifier.citation | Lobur M. Selecting a Monitoring Technology for a Control System of Distributed Oil Production Facilities / Mykhaylo Lobur, Mykola Maliar // Energy Engineering and Control Systems. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 10. — No 1. — P. 28–34. | |
| dc.identifier.citationen | Lobur M. Selecting a Monitoring Technology for a Control System of Distributed Oil Production Facilities / Mykhaylo Lobur, Mykola Maliar // Energy Engineering and Control Systems. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 10. — No 1. — P. 28–34. | |
| dc.identifier.doi | doi.org/10.23939/jeecs2024.01.028 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/64043 | |
| dc.language.iso | en | |
| dc.publisher | Видавництво Львівської політехніки | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Енергетика та системи керування, 1 (10), 2024 | |
| dc.relation.ispartof | Energy Engineering and Control Systems, 1 (10), 2024 | |
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| dc.relation.referencesen | [1] K. Stouffer, J. Falco, K. Kent, T. Grance, R. Ross (2006). Guide to supervisory control and data acquisition (SCADA) and industrial control systems security. NIST Spec. Publ., 800. | |
| dc.relation.referencesen | [2] Shahzad, A., Musa, S., Aborujilah, A., Irfan, M. (2014). The SCADA review: system components, architecture, protocols and future security trends. American Journal of Applied Sciences, 11, 1418–1425. DOI: 10.3844/ajassp.2014.1418.1425 | |
| dc.relation.referencesen | [3] A. Setiawan, Sugeng, K. Koesoema, S. Bakhri, J. Aditya (2019). The SCADA system using PLC and HMI to improve the effectiveness and efficiency of production processes. IOP Conference Series: Materials Science and Engineering, 550. 012008. DOI: 10.1088/1757-899X/550/1/012008. | |
| dc.relation.referencesen | [4] K. Chkara, H. Seghiouer (2022). "Criteria to Implement a Supervision System in the Petroleum Industry: A Case Study in a Terminal Storage Facility", Advances in Science, Technology and Engineering Systems Journal, Vol. 5, No. 5, 29–38. | |
| dc.relation.referencesen | [5] Rashad O., Attallah O., Morsi I. (2022). A smart PLC-SCADA framework for monitoring petroleum products terminals in industry 4.0 via machine learning. Measurement and Control, No. 55(7-8), 830–848. DOI: 10.1177/00202940221103305 | |
| dc.relation.referencesen | [6] Al-Fadhli M., A. Zaher (2018). A smart SCADA system for oil refineries. International Conference on Computing Sciences and Engineering (ICCSE), Kuwait City, Mar. 2018, 1–6. DOI: 10.1109/ICCSE1.2018.8373996 | |
| dc.relation.referencesen | [7] R. Pandit, J. Wang (2024). A comprehensive review on enhancing wind turbine applications with advanced SCADA data analytics and practical insights. IET Renew. Power Gener., Vol. 18, 722–742. DOI: 10.1049/rpg2.12920. | |
| dc.relation.referencesen | [8] Boyko V. S. (2004). Development and operation of oil fields. RealPrint: Kyiv, 695. | |
| dc.relation.referencesen | [9] Malyar A. (2016). Study of stationary modes of sucker rod pumping unit operation. Przeglad elektrotechniczny, 12, 255–259. DOI: 10.15199/48.2016.12.65. | |
| dc.relation.referencesen | [10] L. Richardson, M. Amundsen (2013). RESTful Web APIs. Publisher: O’Reilly Media, Inc., 373. | |
| dc.relation.referencesen | [11] M. Amundsen (2022). RESTful Web API Patterns and Practices Cookbook. Publisher: O’Reilly Media, Inc., 468. | |
| dc.relation.referencesen | [12] Vohra D. (2016). Using Apache Kafka. In: Pro Docker. Apress, Berkeley, CA. 185–194. DOI: 10.1007/978-1-4842-1830-3_12 | |
| dc.relation.referencesen | [13] Wu Z. Shang, K. Wolter (2019). Performance Prediction for the Apache Kafka Messaging System, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Zhangjiajie, China, 2019, 154–161. DOI: 10.1109/HPCC/SmartCity/DSS.2019.00036. | |
| dc.relation.referencesen | [14] Tejas V., Dr. Kiran V. (2020) Development of Kafka Messaging System and its Performance Test Framework using Prometheus, International Journal of Recent Technology and Engineering (IJRTE), 9(1), 1622–1626. DOI: 10.35940/ijrte.A2516.059120 | |
| dc.relation.referencesen | [15] Gurpreet S. Sachdeva (2017). Practical Elk Stack: Build Actionable Insights and Business Metrics Using the Combined Power of Elasticsearch, Logstash, and Kibana. Publisher: APress, 302. | |
| dc.relation.referencesen | [16] Tong Z. (2015). Elasticsearch: The Definitive Guide. O'Reilly Media, Inc. 686. | |
| dc.relation.referencesen | [17] M. Yudha Erian Saputra, Noprianto, S. Noor Arief, V. Nur Wijayaningrum and Y. W. Syaifudin (2024). Real-Time Server Monitoring and Notification System with Prometheus, Grafana, and Telegram Integration, ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), Manama, Bahrain, 1808–1813. DOI: 10.1109/ICETSIS61505.2024.10459488. | |
| dc.relation.referencesen | [18] Vivek Basavegowda Ramu, Ajay Reddy Yeruva (2023). End-to-End Observability with Grafana: A comprehensive guide to observability and performance visualization with Grafana (English Edition). Publisher: BPB Publications, 710. | |
| dc.relation.referencesen | [19] Kumar S., Saravanan C. (2021). A Comprehensive Study on Data Visualization Tool-Grafana. Journal of Emerging Technologies and Innovative Research (JETIR), 8(5), 908. Available: http://www.jetir.org/papers/JETIR2105788.pdf. | |
| dc.relation.referencesen | [20] Kubernetes Resource Requests. Grafana Labs, https://grafana.com/grafana/dashboards/7187-kubernetes-resource-requests (accessed on 2024-02-28) | |
| dc.relation.uri | http://www.jetir.org/papers/JETIR2105788.pdf | |
| dc.relation.uri | https://grafana.com/grafana/dashboards/7187-kubernetes-resource-requests | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2024 | |
| dc.subject | SCADA | |
| dc.subject | моніторинг | |
| dc.subject | система керування | |
| dc.subject | візуалізація | |
| dc.subject | Prometheus | |
| dc.subject | Grafana | |
| dc.subject | нафтовидобувна установка | |
| dc.subject | SCADA | |
| dc.subject | monitoring | |
| dc.subject | control system | |
| dc.subject | visualization | |
| dc.subject | Prometheus | |
| dc.subject | Grafana | |
| dc.subject | oil pumping unit | |
| dc.title | Selecting a Monitoring Technology for a Control System of Distributed Oil Production Facilities | |
| dc.title.alternative | Вибір технології моніторингу для системи керування розподіленими об’єктами нафтовидобутку | |
| dc.type | Article |
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