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
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://romeka.rgf.rs/s/repo
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