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3 items
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Application of machine learning for diagnosing the operation of a deep well pump in oil production
Maja Trikić (2024)This paper will thoroughly examine how machine learning can improve the diagnosis of deep well pumps by analyzing the role and function of the pumps, dynamograms, sensor technologies, and diagnostic methods.Our analysis will provide insights into modern techniques and approaches for enhancing the performance and reliability of oil production systems, targeting cost reduction and increased operational efficiency.deep well pump, dynamograms, machine learning, diagnostics of operating coditions,Random Forest, XGBoost... evaluating pump performance.. ..16 4. MACHINE LEARNING ... a aaaaaaaaaaaaaaaaaaaaataktt 17 4.1. Fundamental elements of applying machine learning in diagnosing deep well pump operations are: al aaaaaaaaaaaaaaaaaaaaaaaaaeaaaeaataaoata 20 4.2. Types of machine learning ..........aaaaaaaaaaaaaaaaaanaaa ...
... technology to increase productivity. The use of machine learning can help advance technologies and processes, especially in areas where traditional engineering methods have been ineffective. 6.3.1. Fundamentals of machine learning Machine learning techniques use data to create models that can predict ...
... using machine learning, we can improve diagnostics and maintenance by recognizing faults before they lead to more serious issues.Finally, we will consider the diagnosis of operational conditions and sensor faults using machine learning in deep well pumping. This segment explores how machine learning ...Maja Trikić. Application of machine learning for diagnosing the operation of a deep well pump in oil production, 2024
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Analiza rada električnih centrifugalnih pumpi
Milica Stanojević (2024)Ovaj rad analizira rad električne centrifugalne pumpe (ESP) u naftnoj industriji, sa fokusom na problem taloženja kamenca (karbonatnih naslaga) unutar sistema. Električne centrifugalne pumpe (ESP) predstavljaju srce mnogih naftnih bušotina. Njihova visoka pouzdanost i sposobnost rada u zahtevnim uslovima čine ih neophodnim za stabilnu i kontinuiranu proizvodnju.Senzori igraju ključnu ulogu u praćenju rada ESP sistema i detekciji ranih znakova taloženja kamenca. Problem taloženja kamenca je izuzetno značajan, jer može dovesti do smanjenja efikasnosti pumpe, povećanja troškova održavanja, i dugoročnih zastoja ...... Flow," n.d. URL: https://glossary.slb.com/en/terms/s/stratified_flow 22.Almalawi, A., Tari, Z., Fahad, A., Yi, X., 2021. „SCADA SECURITY: Machine Learning Concepts for Intrusion Detection and Prevention“., URL: https://www.google.rs/books/edition/SCADA_Security/P- EJEAAAQBAJ?hI=sr&gbpv=1 &dq ...Milica Stanojević . Analiza rada električnih centrifugalnih pumpi, 2024
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Analiza toplotne moći i Vobeovog indeksa prirodnog gasa različitog porekla
Lana Mitrović (2024)U radu su prikazane najznačajnije osobine prirodnog gasa, uključujući hemijski sastav, jednačine sagorevanja i termodinamičke karakteristike koje predstavljaju osnovu za dalje razumevanje rada. Prikazane su količine prirodnog gasa na evropskom trţištu prema zemlji porekla, kao i njihove zasebne hemijske i termodinamičke karakteristike.Kvalitet prirodnog gasa u Republici Srbiji je posebno poglavlje u radu u okviru kog je detaljnjije opisano snabdevanje Republike Srbije prirodnom gasom, kao i zahtevani kvalitet.Na kraju, obuhvatajući sve prethodno navedeno, prikazan je postupak rešavanja Studije slučaja koja ...Lana Mitrović . Analiza toplotne moći i Vobeovog indeksa prirodnog gasa različitog porekla, 2024