OLUSOLA, Oloruntoba and KARA, Fuat (2019). Algorithm to determine flow regimes, transition zones, and pressure gradient of two-phase pipe-flow. International Journal of Scientific & Engineering Research, 10 (10), 739-747.
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29969:601633
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2019 JSER Oloruntoba & Kara 2.pdf - Published Version
Available under License All rights reserved.
2019 JSER Oloruntoba & Kara 2.pdf - Published Version
Available under License All rights reserved.
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Abstract
Existing two-phase phenomenological models for predicting pressure gradient in flowlines and risers are flow regime specific,
and rely on pre-knowledge of flow regime. In practical two-phase pipe flow design, several flow regimes occur in typical flowlines and risers
which require different flow regime and pressure gradient phenomenological models. Several exiting flow regime prediction methods employ
switching between different models with discontinuous boundaries. Therefore, a consistent method to predict flow regime transition zone and
selection of appropriate pressure gradient phenomenological model is required. This work aims to provide an algorithm to predict flow regimes
and transitions zones, as well as pressure gradient in a two-phase pipe flow, and to validate the developed algorithm using published
experimental data. The proposed algorithm is obtained by combining existing and modified flow regimes, and pressure gradient
phenomenological models. Validation of the developed algorithm shows that stratified and annular/mist flow regimes experimental data are
identified as transitions flows. Results also showed that 87.87 % of slug data were correctly determined, with the remaining data identified
as stratified (0.37 %), dispersed-bubble (9.51 %), and transition (2.24 %) flows. Pressure gradient predictions are within 27.36 % average
absolute error. The proposed algorithm is able to determine flow regimes and transition zones for unified flowregime phenomenological
prediction models, and select appropriate pressure gradient phenomenological prediction models
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