@inproceedings{ebcd36dd981640c18c986437c5df5c56,
title = "Managing hydrate formation in subsea production",
abstract = "Quantitative prediction of gas hydrate formation risk is critical for the successful implementation of risk-based approaches to hydrate management in subsea production. Here we use a high pressure, stirred,automated lag-time apparatus and a high pressure acoustic levitator to experimentally obtain smoothprobability distributions describing stochastic hydrate formation. Robust, repeatable hydrate nucleation andgrowth rate probability distributions as a function of induction time and subcooling are measured for variousgases, shear rates and inhibitor dosages in systems with interfacial areas ranging from (0.1 to 60) cm2. Theresults reveal that new engineering models can be used to reliably predict hydrate formation probability.Importantly these new models have solid theoretical foundations which enables them to be generalized withconfidence to industrial systems.",
author = "May, {Eric F.} and Metaxas, {Peter J.} and Lim, {Vincent W.S.} and Kwanghee Jeong and Norris, {Bruce W.} and Kuteyi, {Temiloluwa O.} and Paul Lstanwix and Johns, {Michael L.} and Aman, {Zachary M.}",
year = "2020",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the Annual Offshore Technology Conference",
publisher = "Offshore Technology Conference",
booktitle = "Offshore Technology Conference 2020, OTC 2020",
note = "Offshore Technology Conference 2020, OTC 2020 ; Conference date: 04-05-2020 Through 07-05-2020",
}