2022
DOI: 10.1016/j.jngse.2022.104800
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An improved computational fluid dynamics (CFD) model for predicting hydrate deposition rate and wall shear stress in offshore gas-dominated pipeline

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Cited by 8 publications
(25 citation statements)
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“…Again, to overcome the above limitations, our plugging flowtime and transient pressure drop models concentrated on having the hydrates depositional rate as direct input. The results of the CFD model by Umuteme et al 35 for predicting hydrates deposition rates in gas pipelines, compared more favourably with experimental results at lower velocity of 4.7 m/s than the predictions of Di Lorenzo et al 9 However, the CFD model was limited by pipe length, resulting in a gap to develop an analytical model that can predict plugging flowtime, transient pressure drop, and locate the position of hydrates plugging event in industry size pipeline.…”
Section: Literature Reviewmentioning
confidence: 81%
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“…Again, to overcome the above limitations, our plugging flowtime and transient pressure drop models concentrated on having the hydrates depositional rate as direct input. The results of the CFD model by Umuteme et al 35 for predicting hydrates deposition rates in gas pipelines, compared more favourably with experimental results at lower velocity of 4.7 m/s than the predictions of Di Lorenzo et al 9 However, the CFD model was limited by pipe length, resulting in a gap to develop an analytical model that can predict plugging flowtime, transient pressure drop, and locate the position of hydrates plugging event in industry size pipeline.…”
Section: Literature Reviewmentioning
confidence: 81%
“…These include experimental flow-loop models, 6,12,[26][27][28] analytical models 9,29,30 and computational fluid dynamics (CFD) models. [31][32][33][34][35] Experimental models for gas hydrates studies in pipelines are usually limited by scalability for real-life application because gas pipelines can span several kilometres which is difficult to setup in a laboratory experiment. However, experimental results have provided data for the validation of both analytical and CFD models.…”
Section: Literature Reviewmentioning
confidence: 99%
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