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Gas Hydrate Formation Probability Distributions: The Effect of Shear and Comparisons with Nucleation Theory

Authors :
Vincent W.S. Lim
Zachary M. Aman
Paul L. Stanwix
Gert Haandrikman
Michael L. Johns
Eric F. May
Daniel Lee Crosby
Peter J. Metaxas
J. Du
Darren Rowland
Source :
Langmuir. 34:3186-3196
Publication Year :
2018
Publisher :
American Chemical Society (ACS), 2018.

Abstract

Gas hydrate formation is a stochastic phenomenon of considerable significance for any risk-based approach to flow assurance in the oil and gas industry. In principle, well-established results from nucleation theory offer the prospect of predictive models for hydrate formation probability in industrial production systems. In practice, however, heuristics are relied on when estimating formation risk for a given flowline subcooling or when quantifying kinetic hydrate inhibitor (KHI) performance. Here, we present statistically significant measurements of formation probability distributions for natural gas hydrate systems under shear, which are quantitatively compared with theoretical predictions. Distributions with over 100 points were generated using low-mass, Peltier-cooled pressure cells, cycled in temperature between 40 and −5 °C at up to 2 K·min–1 and analyzed with robust algorithms that automatically identify hydrate formation and initial growth rates from dynamic pressure data. The application of shear...

Details

ISSN :
15205827 and 07437463
Volume :
34
Database :
OpenAIRE
Journal :
Langmuir
Accession number :
edsair.doi.dedup.....66f6acd2276a9551acf0f853d5c18d09
Full Text :
https://doi.org/10.1021/acs.langmuir.7b03901