Application of machine learning for diagnosing the operation of a deep well pump in oil production

Објеката

Врста завршног рада
Мастер рад
Језик
енглески
Аутор
en Maja Trikić
Година одбране
2024
Ментор
en Predrag Jovančić
Чланови комисије
en Predrag Jovančić, Miroslav Crnogorac, Aleksandar Madžarević
Резиме
en 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.
Кључне речи
en deep well pump, dynamograms, machine learning, diagnostics of operating coditions,Random Forest, XGBoost
Број страна
73
Ниво приступа
Затворени приступ
Лиценца
0. All rights reserved
Формат
.pdf

Maja Trikić. Application of machine learning for diagnosing the operation of a deep well pump in oil production, 2024

This item was submitted on 30. септембар 2024. by [anonymous user] using the form “Завршни рад” on the site “Радови”: http://drug.rgf.bg.ac.rs/s/repo

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