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.
... Importance of efficient pump operation ......aaaaaaaaaaaa a aaaaaaaaaoati 9
3. DYNAMOGRAMS IN DEEP WELL PUMPING SYSTEMS ......annnn 10
3.1 Explanation of dynamograms in oil production ...........aaaaaaaaaaakee 10
3.2 Dynamograms of pump operation ... aaaaaaaaaaaaaaaeaaaaakakve 11
3.2.1 Theoretical dynamogram ...
...
consumption.
3. DYNAMOGRAMS IN DEEP WELL PUMPING SYSTEMS
3.1 Explanation of dynamograms in oil production
The basis for diagnosing issues in downhole pump operation is the analysis of
dynamogram shapes. This analysis uses theoretical, surface, and downhole
dynamograms. By comparing the shapes ...
... operation of the downhole pump is
monitored by recording surface dynamograms, while in the case of a system for
recording time functions of stroke and load, downhole dynamograms are generated using
a mathematical model. Theoretical dynamograms of the deep well pumping system serve
as a starting point ...
Maja Trikić. Application of machine learning for diagnosing the operation of a deep well pump in oil production, 2024
