AI Article Synopsis
- - This paper focuses on creating a model to understand how various factors (like thermodynamics and mass transfer) impact hydrate growth in pipelines, which is important for practical applications.
- - A new bidirectional growth model for hydrate shells is introduced, integrating thermodynamic theories and methods to estimate changes in guest molecule concentration and water molecule permeation rates, along with predictions of temperature variations across the hydrate shell.
- - The study also addresses a decrease in mass transfer efficiency as the hydrate shell thickens and optimizes kinetic parameters based on experiments in a controlled environment, aiming to enhance prediction accuracy for hydrate formation in complex systems.
Article Abstract
Hydrate growth is influenced by many factors, including thermodynamics, kinetics, mass and heat transfer, and so on. There is thus a practical significance in establishing a model that comprehensively considers these influencing factors for hydrate crystal growth in multiphase transportation pipelines. On this basis, this paper presents a more practical and comprehensive bidirectional growth model of hydrate shells for an actual pipeline system. Thermodynamic phase equilibrium theory and water molecule penetration theory are applied in this model to develop a method for calculating the concentration change of hydrate-forming guest molecules and the permeation rate of water molecules. The temperatures on both sides of the hydrate shell are predicted by the heat transfer model. Simultaneously, decreasing the mass transfer coefficient with continuous hydrate growth is used to describe the problem in which the mass transfer efficiency decreases with a thickened hydrate shell. Then, the hydrate growth kinetic parameters of the pipeline system are optimized according to hydrate growth experiments conducted in a high-pressure flow loop and the microscopic characteristics of the particles were provided using the PVM and FBRM probes. The improved hydrate growth model can improve the prediction accuracy of hydrate formation in slurry systems.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774284 | PMC |
| http://dx.doi.org/10.1021/acsomega.0c04708 | DOI Listing |
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