Application of machine learning algorithms to predict tubing pressure in intermittent gas lift wells
Tubing pressure at gas injection depth in intermittent wells is one of the most critical parameters for production engineers to evaluate the performance of the system. However, monitoring of the tubing pressure is not usually carried out in real time. It has been realized that the generally used cor...
Main Author: | Nagham Amer Sami |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2022-06-01
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Series: | Petroleum Research |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2096249521000715 |
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