Multi-Phase Flow in Wellbore and Machine Learning Optimization Method
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H1: Petroleum Engineering".
Deadline for manuscript submissions: closed (5 October 2023) | Viewed by 4187
Special Issue Editors
Interests: productivity prediction; complex well; artificial lift; multi-phase flow in wellbore; artificial intelligent
Special Issues, Collections and Topics in MDPI journals
Interests: gas lift; multiphase flow in well bore; imbibition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the development of unconventional oil and gas, the multi-phase flow in wellbore also face new challenges. For example, the multi-phase flow in multi-fracturing horizontal wells needs to be further investigated. On the other hand, the transient flow in the wellbore and the intelligent lift technologies also help to improve the lift efficiency. Thus, researchers can publish relevant studies on the Special Issue. In addition, machine learning also has been widely used in petroleum engineering. There are many researchers working on the machine learning optimization method. This Special Issue aims to present the most recent advances in machine learning, which focuses on reservoirs and wellbore.
Dr. Guoqing Han
Dr. Xingyuan Liang
Guest Editors
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Keywords
- productivity prediction
- artificial lift
- artificial intelligent
- multi-phase flow in wellbore
- liquid loading
- plunger lift
- gas lift
- ESP
- rod pump
- big data
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