2014
DOI: 10.1016/j.ijthermalsci.2014.06.034
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Gas void formation in statically cooled waxy crude oil

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Cited by 39 publications
(14 citation statements)
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“…All these efforts are taken to reduce wax deposition and mitigate in such a way that wax layer thickness can be predicted and addressed for maintenance once it reaches to a caution limit. Hence, predicting wax deposition can help in preventive maintenance and costeffectiveness [9][10][11][12][13]16].…”
Section: Introductionmentioning
confidence: 99%
“…All these efforts are taken to reduce wax deposition and mitigate in such a way that wax layer thickness can be predicted and addressed for maintenance once it reaches to a caution limit. Hence, predicting wax deposition can help in preventive maintenance and costeffectiveness [9][10][11][12][13]16].…”
Section: Introductionmentioning
confidence: 99%
“…*Formation and deposition of paraffin wax on the inner wall of production facilities and transportation pipelines continues to be a critical operational problem faced by the oil industry (Alcazar-Vara and Buenrostro-Gonzalez, 2013; Jafari Ansaroudi et al, 2013;Chala et al, 2014;Coto et al, 2014;Elhaddad et al, 2015;Zhang, 2014;Quan et al, 2015). Petroleum industries worldwide have been threatened by the risk of wax crystallisation and deposition which leads to tremendous economic losses due to the chemicals, well shut-in, choking of the flowlines, reduced production, less utilization of capacity, increased manpower attention and extra horse-power requirement.…”
Section: Introductionmentioning
confidence: 99%
“…The formation of voids in wax-oil gel was reported to make the waxy crude oil fluid compressible, which would make the restart pressure and pipeline design parameters lower than the estimated values from the conventional equation. As a result of thermal shrinkage of waxy crude oil during cooling, the formation of intra-gel voids is eminent [8][9][10]. Many research papers also recommended the understating of thermal shrinkage and the resulting gas voids formation to predict the restart pressure as accurately as possible [11].…”
Section: Introductionmentioning
confidence: 99%