Application of soft computing techniques to multiphase flow measurement: A review

Yong Yan, Lijuan Wang, Tao Wang, Xue Wang, Yonghui Hu, Quansheng Duan

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Abstract

After extensive research and development over the past three decades, a range of techniques have been proposed and developed for online continuous measurement of multiphase flow. In recent years, with the rapid development of computer hardware and machine learning, soft computing techniques have been applied in many engineering disciplines, including indirect measurement of multiphase flow. This paper presents a comprehensive review of the soft computing techniques for multiphase flow metering with a particular focus on the measurement of individual phase flowrates and phase fractions. The paper describes the sensors used and the working principle, modelling and example applications of various soft computing techniques in addition to their merits and limitations. Trends and future developments of soft computing techniques in the field of multiphase flow measurement are also discussed.

Original languageEnglish
Pages (from-to)30-43
Number of pages14
JournalFlow Measurement and Instrumentation
Volume60
DOIs
Publication statusPublished - 1 Apr 2018

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