Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/754
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dc.contributor.authorAfnan A.Y. Al-Shamlanen_US
dc.date.accessioned2019-03-28T06:45:11Z-
dc.date.available2019-03-28T06:45:11Z-
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/123456789/754-
dc.description.abstractIn this thesis, fouling factor Rf correlations were developed for three heat exchangers all operating for crude units, two of which contain crude and the other one has desalted crude. Analyzing many factors effecting the heat exchangers performance and considering only the ones with greater impacts. The required inputs for these correlations are the temperatures of both shell and tube and the days of operation. The days of operation allows the consideration of how long the heat exchanger was on service. Moreover, the accuracy of the correlations was compared for several modules developed for the same heat exchanger using the regression method. The correlations chosen were based on their simplicity as well as their accuracy. The proposed correlations calculate the fouling factor, which is an indicator of the heat exchangers performance.en_US
dc.publisher Kuwait university - college of graduate studiesen_US
dc.subjectHeat Exchangers : Hydrocarbonsen_US
dc.titleFouling of Hydrocarbons in Heat Exchangersen_US
dc.typethesisen_US
dc.contributor.supervisorDr. Bader Al-Busairien_US
dc.contributor.universityID213126070en_US
dc.contributor.emailthesis.feedback@grad.ku.edu.kwen_US
dc.description.conclusionsDue to the high impact of fouling in oil industry, operational impact, delays, and financial loss, the fouling in three heat exchangers was studied for a period of around three years. The fouling factor in all of the three heat exchangers were calculated from the operational data. The relation of the fouling data with operational variables and fouling history were discussed. Table 5-1 to Table 5-3 present the summary of the historical fouling conditions of all three heat exchangers. Correlation for estimating fouling factor for each heat exchanger was generated. These correlations are based on operational data and duration around three years from last cleaning or inspection. The correlations shows high accuracy in estimating the fouling factor values. The accuracy of each proposed module were discussed and validated. In conclusion, it was found that the higher the temperature the higher the fouling rate and the heavier fluid (Crude) causes more fouling, corrosion and pitting. This resulted in more re-tubing cases and bundle changes. Additionally, the history of a heat exchanger is to be considered due to the great effect it has on its current performance. It is recommended to apply online cleaning of tubes and to reduce the operation period for maintenance. It is also recommended to use pressure gauges for the heat exchangers flow rates as the pressure drop is a good indicator of the fouing problem.en_US
dc.contributor.cosupervisorDr. Khawla Al-Shayjien_US
dc.date.semesterSpringen_US
dc.description.examinationYen_US
dc.description.gpa3.5en_US
dc.description.credits33en_US
Appears in Programs:0640 Chemical Engineering
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