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

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Main Authors: Khan, Muhammad Saad, Barooah, Abinash, Lal, Bhajan, Rahman, Mohammad Azizur
Format: Book Section
Published: Springer 2023
Online Access:http://scholars.utp.edu.my/id/eprint/36975/
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spelling oai:scholars.utp.edu.my:369752023-09-05T08:59:04Z http://scholars.utp.edu.my/id/eprint/36975/ Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios Khan, Muhammad Saad Barooah, Abinash Lal, Bhajan Rahman, Mohammad Azizur Springer 2023 Book Section NonPeerReviewed Khan, Muhammad Saad and Barooah, Abinash and Lal, Bhajan and Rahman, Mohammad Azizur (2023) Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios. In: Machine Learning and Flow Assurance in Oil and Gas Production. Springer, pp. 27-57.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Book Section
author Khan, Muhammad Saad
Barooah, Abinash
Lal, Bhajan
Rahman, Mohammad Azizur
spellingShingle Khan, Muhammad Saad
Barooah, Abinash
Lal, Bhajan
Rahman, Mohammad Azizur
Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios
author_facet Khan, Muhammad Saad
Barooah, Abinash
Lal, Bhajan
Rahman, Mohammad Azizur
author_sort Khan, Muhammad Saad
title Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios
title_short Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios
title_full Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios
title_fullStr Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios
title_full_unstemmed Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios
title_sort multiphase flow systems and potential of machine learning approaches in cutting transport and liquid loading scenarios
publisher Springer
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/36975/
_version_ 1776249643009572864
score 13.214268

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