Investigation of methane hydrate formation kinetics using machine learning and computational fluid dynamics tools ...
Hydrate blockage in oil and gas facilities can cause a significant economic impact in terms of deferred production and remediation costs, particularly in harsh conditions (e.g., deep water). Financial considerations and safety concerns have motivated most operating companies to apply the hydrate man...
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| Format: | Text |
| Language: | English |
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Memorial University of Newfoundland
2023
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| Online Access: | https://dx.doi.org/10.48336/3r1b-a585 https://research.library.mun.ca/15813/ |
| Summary: | Hydrate blockage in oil and gas facilities can cause a significant economic impact in terms of deferred production and remediation costs, particularly in harsh conditions (e.g., deep water). Financial considerations and safety concerns have motivated most operating companies to apply the hydrate management approach rather than the hydrate avoidance strategy. The hydrate management strategy requires a detailed understanding of how hydrates form, accumulate, deposit, and jam in pipeline systems. Despite all efforts that have been accomplished to find out the best method to manage and control hydrate formation in oil facilities, hydrate formation remains a challenge for the industry, and more research is needed to find reliable/effective methods for hydrate management. This research thesis starts with an extensive literature review, and the first series of simulation runs are performed to study methane hydrate formation in a jumper using a computational fluid dynamics (CFD) software, named Star CCM+. The ... |
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