Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport

Marcin Zych; Robert Hanus; Leszek Petryka; Dariusz Świsulski; Anna Strzępowicz; Piotr Zych

doi:10.1051/epjconf/20159202122

Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport

Abstract

The work presents selected methods of signal analysis used in the processing of data obtained from radiometric probes. The used data came from an exemplary study of a two-phase liquid-gas flow at the laboratory installation. In such rigs many possible transport types may be observed, i.e. slug, plug and bubble flow, and each of them gives different signal-to-noise ratio of recorded data. Therefore, available radiometric methods of gas phase velocity measurements give diverse accuracies. Authors consider several improvements of data acquisition and processing which increase possibility of the flow type recognition and higher accuracy of the gas phase velocity estimation.

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Authors (6)

Marcin Zych
- Akademia Górniczo-Hutnicza, Wydział Geologii, Geofizyki i Ochrony Środowiska Katedra Geofizyki
Robert Hanus
- Politechnika Rzeszowska, .
Leszek Petryka
- Akademia Górniczo-Hutnicza .
Dariusz Świsulski dr hab. inż.
Anna Strzępowicz
- Akademia Górniczo-Hutnicza .
Piotr Zych
- Politechnika Warszawska .

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Keywords

PRZEPŁYWY DWUFAZOWE

Details

Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: W : International Conference Experimental Fluid Mechanics 2014: Conference Proceedings strony 790 - 795
ISSN:: 2100-014X
Language:: English
Publication year:: 2014
Bibliographic description:: Zych M., Hanus R., Petryka L., Świsulski D., Strzępowicz A., Zych P..: Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport, W: W : International Conference Experimental Fluid Mechanics 2014: Conference Proceedings, 2014, EDP Sciences,.
DOI:: Digital Object Identifier (open in new tab) 10.1051/epjconf/20159202122
Verified by:: Gdańsk University of Technology