Agradecimentos: The authors gratefully acknowledge Queiroz Galvão - Exploration and Production and PETROBRAS for the financial support and ANP (National Agency of Petroleum, Natural Gas and Biofuels) under Grant FUNCAMP 01-P-20041/2015 and FUNCAMP 01-P-25045/2015 (SIGITEC 2014/00363-9). In addition,...

Agradecimentos: The authors gratefully acknowledge Queiroz Galvão - Exploration and Production and PETROBRAS for the financial support and ANP (National Agency of Petroleum, Natural Gas and Biofuels) under Grant FUNCAMP 01-P-20041/2015 and FUNCAMP 01-P-25045/2015 (SIGITEC 2014/00363-9). In addition, the authors acknowledge the ALFA Research Group for their support and the Center for Petroleum Studies of the University of Campinas for the facilities

The multiphase flow is not only the most common flow in nature but also occurs in various major industrial fields. Furthermore, in many industrial plants, the single and multiphase flows generates vibration and noise. In the context of two-phase flows, a specific case of multiphase flow, the flow...

The multiphase flow is not only the most common flow in nature but also occurs in various major industrial fields. Furthermore, in many industrial plants, the single and multiphase flows generates vibration and noise. In the context of two-phase flows, a specific case of multiphase flow, the flow pattern determination is crucial to their analysis, and despite the recent progress and developments in flow-induced vibration for two-phase flows, it is still considered an open topic. This paper develops a novel algorithm for flow pattern classification using the vibration signal from a vertical pipe conveying a liquid-gas two-phase flow to determine the flow pattern. An experimental apparatus and procedure were developed to perform this investigation. The analysis in the frequency domain showed a distinct frequency band activity for slug and churn flows. The analysis in time domain showed a significant amplitude variation for these flow patterns. Finally, by using the RMS and Pearson correlation coefficient, it was possible to classify the studied cases accurately. The results present a non-intrusive technique to identify the flow pattern in two-phase liquid-gas vertical flows

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