Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios

• Main Authors: Saad Khan, M., Barooah, A., Lal, B., Azizur Rahman, M.
• Format: Book
• Published: Springer Nature 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/38047/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174767536&doi=10.1007%2f978-3-031-24231-1_3&partnerID=40&md5=d726cf4d8449c9077fbde4c2c017686a

Multiphase flow is a primary concern in flow assurance applications, mainly dealing with cutting transport, hydrate formation, and liquid loading issues. The conventional prediction model includes empirical equations and complex physics-based models; however, they are limited within the experimental...