# Temperature Prediction Model for Flowing Distribution in Wellbores and Pipelines

 dc.contributor.author Onuh, Yunusa Charles dc.date.accessioned 2016-09-09T15:58:45Z dc.date.available 2016-09-09T15:58:45Z dc.date.issued 2011-12-12 dc.identifier.uri http://repository.aust.edu.ng/xmlui/handle/123456789/501 dc.identifier.uri http://library.aust.edu.ng:8080/xmlui/handle/123456789/501 dc.description.abstract Down-hole temperature and pressure data are important information needed to understand flowing conditions and production optimization. For example, knowing the wellbore temperature profile is useful in predicting the wax formation in the tubing, which is important in flow assurance. en_US While gas production usually causes a temperature decrease due to Joule Thomson effect, water entry results in warming of the wellbore. Warmer water entry is as a result of inflow from a warmer aquifer zone due to water coning. Water entry by water coning can therefore easily be detected from temperature profile since it increases the wellbore temperature. In this study, we successfully developed a temperature prediction model which calculates temperature profiles for flowing temperature in the wellbore and considers Joule Thomson coefficient as a function of mass flow rate of the fluid phases (oil, water, and gas). We modified Alves et al temperature equation and the modified temperature equation was used to produce the work done by Alves et al which produces close result. The model was used to investigate the effect of gas and water entry that created change in temperature profile along the wellbore. The temperature equation can be applied to pipelines or production and injection wells under single phase, two phase, and three phase flow, for horizontal, vertical, and inclined wells. Cases were considered to verify the effect of water and gas entry into the wellbore. The result shows that water entry increases wellbore temperature and gas entry decreases wellbore temperature and also temperature profile is a function of the flow rate of the fluid. Since the prediction requires the fluid composition in the wellbore, accurate prediction of the temperature profile can give an idea of how much component of each fluid is present in the wellbore. dc.language.iso en en_US dc.subject Onuh Yunusa Charles en_US dc.subject Dr. Alpheus Igbokoyi en_US dc.subject Wellbores en_US dc.subject Pipelines en_US dc.subject Temperature Prediction Model en_US dc.subject Flowing Distribution en_US dc.subject Wellbores and Pipelines en_US dc.subject 2011 Materials Science and Engineering en_US dc.subject Down-hole Temperature en_US dc.title Temperature Prediction Model for Flowing Distribution in Wellbores and Pipelines en_US dc.type Thesis en_US
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• #### Petroleum Engineering125

This collection contains master's Theses from 2009 to 2022