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    Using ANSYS to realize a semi-analytical method for predicting temperature profile in injection/production well

    189152_71672_Waset_Paper.pdf (755.1Kb)
    Access Status
    Open access
    Authors
    Tarom, N.
    Hossain, Mofazzal
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Tarom, N. and Hossain, M.M. 2012. Using ANSYS to realize a semi-analytical method for predicting temperature profile in injection/production well. World Academy of Science, Engineering and Technology. 72: pp. 1006-1015.
    Source Title
    World Academy of Science, Engineering and Technology
    Additional URLs
    http://waset.org/publications/8287/using-ansys-to-realize-a-semi-analytical-method-for-predicting-temperature-profile-in-injection-production-well
    ISSN
    2070-3740
    Remarks

    This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License.

    URI
    http://hdl.handle.net/20.500.11937/32520
    Collection
    • Curtin Research Publications
    Abstract

    Determination of wellbore problems during a production/injection process might be evaluated thorough temperature log analysis. Other applications of this kind of log analysis may also include evaluation of fluid distribution analysis along the wellbore and identification of anomalies encountered during production/injection process. While the accuracy of such prediction is paramount, the common method of determination of a wellbore temperature log includes use of steady-state energy balance equations, which hardly describe the real conditions as observed in typical oil and gas flowing wells during production operation; and thus increase level of uncertainties. In this study, a practical method has been proposed through development of a simplified semi-analytical model to apply for predicting temperature profile along the wellbore. The developed model includes an overall heat transfer coefficient accounting all modes of heat transferring mechanism, which has been focused on the prediction of a temperature profile as a function of depth for the injection/production wells. The model has been validated with the results obtained from numerical simulation.

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