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...

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Bibliographic Details
Main Author: Nagham Amer Sami
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-06-01
Series:Petroleum Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2096249521000715