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Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios by Muhammad Saad Khan; Abinash Barooah; Bhajan Lal; Mohammad Azizur Rahman is a book available to read on EtoBox.

What is Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios about?

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 ranges. Due to complex physics and the limitations of numerical methods, new techniques of collecting and evaluating multiphase behavior in these pipelines is essential, which is reviewed in this chapter. The review covers the overview of different multiphase systems, followed by cutting transport and existing models for accurate prediction of cutting transport. Also, the available literature on machine learning applications in cutting transport is included in it. Moreover, the chapter also demonstrates a liquid loading issue and their available prediction methods. The available literature on machine learning in liquid loading applications is also part of this chapter. The final part of the chapter includes the case studies of machine learning in multiphase flow systems to provide the field applicability of this modern prediction technique which can provide an avenue for future applicat

Author

Muhammad Saad Khan; Abinash Barooah; Bhajan Lal; Mohammad Azizur Rahman

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031242304

Subjects

Engineering, Science, Stem