NDLI: Bubble shape estimation in gas-liquid slug flow using wire-mesh sensor and advanced data processing

Content Provider	IEEE Xplore Digital Library
Author	Santos, E.N. Pipa, D.R. Morales, R.E.M. da Silva, M.J.
Copyright Year	2014
Description	Author affiliation: Univ. Tecnol. Fed. do Parana (UTFPR), Curitiba, Brazil (Santos, E.N.; Pipa, D.R.; Morales, R.E.M.; da Silva, M.J.)
Abstract	Wire-mesh sensors produce three-dimensional data of void fraction distribution at high resolution thus being an appropriate tool to investigate two-phase gas-liquid flows. Slug flow is typically found in petroleum production lines. This type of flow is characterized by the intermittent occurrence of gas bubbles and liquid slugs along the pipe. An important issue of these flows is the existence of a variety of regimes, depending on the flow rates of gas and liquid. The quantitative and qualitative information about shapes of the bubble nose and tail allows to study and to model the flow characteristics in order to increase safety and profit margins in operation of pipelines. In this paper we investigate two methods to estimate typical bubble shape of gas-liquid slug flow, which are based on ensemble mean and median approaches, for a set of identified bubbles in a given experiment. Results show that both approaches produce similar estimations, however since median is a type of robust estimator, contours of bubbles are better defined. Three-dimensional images of typical bubbles, for five different operational conditions, are generated and reveal some details about bubble shape.
Starting Page	308
Ending Page	311
File Size	1282911
Page Count	4
File Format	PDF
ISBN	9781479952205
DOI	10.1109/IST.2014.6958494
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-14
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Fluid flow measurement Liquids Estimation Wires Temperature measurement Instruments median two-phase flow wire-mesh sensor bubble identification robust estimation mean
Content Type	Text
Resource Type	Article

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