2013
DOI: 10.2118/161036-pa
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Computational Fluid Dynamics-Based Study of an Oilfield Separator--Part II: An Optimum Design

Abstract: This paper provides details of comprehensive computational-fluiddynamics (CFD)-based studies performed to overcome the separation inefficiencies experienced in a large-scale three-phase separator. It will be shown that the classic design methods are too conservative and would result in oversized separators. In this study, effective CFD models are developed to estimate the phaseseparation parameters that are integrated into an algorithmic design method to specify a realistic optimum separator. The CFD simulatio… Show more

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Cited by 19 publications
(4 citation statements)
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“…This behavior was highly desirable in the gas-liquid separator system context. Most separators are sized to provide enough retention time to allow gas bubbles to form and separate out [20]. Hence, the cyclonic chamber may reduce the separator size, in addition to the flow distribution advantage.…”
Section: Resultsmentioning
confidence: 99%
“…This behavior was highly desirable in the gas-liquid separator system context. Most separators are sized to provide enough retention time to allow gas bubbles to form and separate out [20]. Hence, the cyclonic chamber may reduce the separator size, in addition to the flow distribution advantage.…”
Section: Resultsmentioning
confidence: 99%
“…Hence, the sloshing in the AGRU is responsible for the decrease of removal efficiencies of CO 2 and H 2 S to 11.3% and 50%, respectively. Furthermore, if only the liquid carryover due to sloshing in multiphase separators is considered, the sweet gas production rate is 18.5 MMCFD. …”
Section: Modeling and Resultsmentioning
confidence: 99%
“…Effects on droplet evolution under various conditions, using computational fluid dynamics, provide better information about the overall behavior of the dispersions in the process [11]. Computational fluid dynamics is heavily utilized, to study and optimize the phase interactions during gravity separation [12,13]. The implementation of population balance models in computational fluid dynamic codes provides an even better insight into the separation process [14].…”
Section: Introductionmentioning
confidence: 99%