Enhancing pressure gradient prediction in multi-phase flow through diverse well geometries of North American shale gas fields using deep learning

Author:

Kim SungilORCID,Kim Tea-WooORCID,Hong YongjunORCID,Kim JuhyunORCID,Jeong Hoonyoung

Funder

Ministry of Science, ICT and Future Planning

Korea Institute of Geoscience and Mineral Resources

Publisher

Elsevier BV

Reference77 articles.

1. A study of two-phase flow in inclined pipes;Beggs;J Pet Technol,1973

2. Using excess natural gas for reverse osmosis-based flowback water treatment in US shale fields;Kar;Energy,2020

3. Adaptive factorization network: learning adaptive-order feature interactions;Cheng;Proc AAAI Conf Artif Intell,2020

4. The multiphase flow of gas, oil, and water through vertical flow strings with application to the design of gas-lift installations;Poettman,1952

5. The calculation of pressure gradients in high-rate flowing wells;Baxendell;J Pet Technol,1961

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