Journal
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
Volume 127, Issue -, Pages 611-621Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2018.06.015
Keywords
Hydrate formation; Bubbly flow; Bubble-Bubble interaction; Bubble-Hydrate particle interaction; Mass transfer model
Categories
Funding
- National Natural Science Foundation-Outstanding Youth Foundation [51622405]
- Natural Science Foundation of Shandong Provence [ZR2016EEM30, JQ201716]
- National Key Basic Research Program of China (973 Program) [2015CB251200]
- Program for Changjiang Scholars and Innovative Research Team in University [IRT_14R58]
- National Key Research and Development Plan [2016YFC0303408]
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Methane hydrate formation in bubbly flow widely exists in development of oil, gas and natural gas hydrate in deep-water environment, as an important flow assurance problem. The hydrate formation in swarms is a mass transfer process and does not simply equal to the weighted sum of hydrate formation on single moving bubble. The bubble-bubble interactions and the bubble-hydrate particle interactions in bubbly flow will promote the mass transfer coefficient during hydrate formation and accelerate hydrate formation in bubbly flow. Meanwhile, series of experiments are performed to investigate characteristics of hydrate formation in bubbly flow under Re from 15,000 to 22,000. The hydrate formation rate and the mass transfer coefficient increase with the fluid velocity increases. The mass transfer coefficient ascends exponentially with time because the increase of quantities of hydrate particles in flow loop create more interactions between bubbles and hydrate particles. The increase of mass transfer coefficient further compensates the reduction of hydrate formation rate induced by subcooling temperature decreasing in experiments. A mass transfer hydrate formation model is developed to depict hydrate formation in bubbly flow including the bubble-bubble interaction factor and the bubble-hydrate particle interaction factor and reaches a good agreement with experimental data. (C) 2018 Elsevier Ltd. All rights reserved.
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