Flow pattern identification and measurement techniques in gas-liquid-liquid three-phase flow: A review. (December 2020)

• Record Type: Journal Article
• Authors: Yaqub, Muhammad Waqas; Marappagounder, Ramasamy; Rusli, Risza; Reddy Prasad, D.M.; Pendyala, Rajashekhar
• Is Part Of: Flow measurement and instrumentation. Volume 76(2020)
• Publication Date: 2020-12
• Subjects: Three-phase flow -- Flow pattern -- Identification technique -- Liquid holdup; Fluid dynamic measurements -- Periodicals; Flow meters -- Periodicals; Fluides, Dynamique des -- Mesure -- Périodiques; Débitmètres -- Périodiques; 681.2805
• DOI: 10.1016/j.flowmeasinst.2020.101834
• Languages: English
• ISSNs: 0955-5986

Abstract

Abstract: The simultaneous flow of gas, oil, and water forms various flow patterns due to the complex interfacial relationships. Three-phase flow patterns are classified as the gas-liquid and liquid-liquid flow patterns. Pressure drop, void fraction, liquid holdup, and phase distribution are important characteristics of the three-phase flow. These characteristics are generally associated with the three-phase flow patterns. Hence, the knowledge about flow patterns can help to predict the overall behavior of the three-phase flow. Studies have been conducted to identify three-phase flow pattern and their characteristics at various superficial velocities of gas, oil, and water. The major purpose of the studies is to gather information about the three-phase co-current flow and use it for improvement of the efficiency of the flow systems. Therefore, the accuracy of the measurement technique is critical. Several types of flow pattern identification and measurement techniques have been developed to improve accuracy and provide high-quality results. In this article, classical and advanced techniques used for the three-phase flow identification and measurement have been reviewed. The survey will help the researchers working in the area of multiphase flow to choose the right technique based on the objectives of the studies. Highlights: Survey of experimental systems used for the three-phase flow studies. Instruments for the measurement of pressure drop and liquid holdup. Intrusive and non-intrusive techniques used for the identification of flow patterns and characteristics. Use of artificial neural networks (ANN) as an advanced method for prediction of three-phase flow patterns. Cost-effective flow assurance by combining flow pattern identification and ANN.