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Multiphase Science and Technology

Выходит 4 номеров в год

ISSN Печать: 0276-1459

ISSN Онлайн: 1943-6181

SJR: 0.144 SNIP: 0.256 CiteScore™:: 1.1 H-Index: 24

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A THREE-PHASE SLUG FLOW INVESTIGATION BY TOMOGRAPHIC DUAL-BEAM X-RAY IMAGING: SLUG FREQUENCY MEASUREMENT AND LESSONS FOR CORRELATION DEVELOPMENT AND APPLICATION

Том 28, Выпуск 1, 2016, pp. 71-98
DOI: 10.1615/MultScienTechn.2016018538
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Краткое описание

New measurement data on three-phase (air-oil-water) slug flows are reported in a long (37 m), large-diameter (3 in nominal, 77.9 mm bore) pipe, generated by using a nonintrusive technique based on a dual-beam X-ray tomography system. Based on this measurement data, the frequency of hydrodynamic slugs is determined at a position 30.6 m (~400 diameters) downstream of the inlet and over a range of inlet flow conditions with superficial velocities: 2–6 m/s (air), 0–0.5 m/s (oil), 0–0.5 m/s (water), from which slug frequency trends specific to this three-phase flow system are identified and reported in the literature for the first time. The slug frequency data are subsequently used to examine the feasibility and reliability of using slightly modified versions of many of the current two-phase gas-liquid slug frequency correlations in order to predict the measured three-phase slug frequencies observed in the experiments. It is found that, in general, these correlations provide poor slug frequency predictions in the investigated flows; nevertheless, the correlations that tend to perform best are those that include terms that attempt to account for variations in the fluid properties. The approach presented in this paper provides a method for reasonable three-phase slug frequency prediction as a first approximation, although the accuracy of this prediction can be improved if the apparent liquid-liquid mixture-viscosity can be determined more reliably in situ. The data made available in the present paper are to the best knowledge of the authors not presently available in the literature, and can be used to develop and validate advanced multiphase flow models, beyond acting as a benchmark database for correlation checks and improvement, as is done here.

ЦИТИРОВАНО В
  1. Guilizzoni Manfredo, Baccini Beatrice, Sotgia Giorgio, Colombo Luigi Pietro Maria, Image-based analysis of intermittent three-phase flow, International Journal of Multiphase Flow, 107, 2018. Crossref

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