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    Burst Strength Analysis of Casing with Geometrical Imperfections

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    Authors
    Huang, Xiaoguang
    Chen, Yanyun
    Lin, Kai
    Mihsein, Musa
    Kibble, Kevin A.
    Hall, Richard
    Issue Date
    2007
    
    Metadata
    Show full item record
    Abstract
    Accurately predicting the burst strength is very important in the casing design for the oil and gas industry. In this paper, finite element analysis is performed for an infinitely long thick walled casing with geometrical imperfections subjected to internal pressure. A comparison with a series of full-scale experiments was conducted to verify the accuracy and reliability of the finite element analysis. Furthermore, three predictive equations were evaluated using the test data, and the Klever equation was concluded to give the most accurate prediction of burst strength. The finite element analysis was then extended to study the effects of major factors on the casing burst strength. Results showed that the initial eccentricity and material hardening parameter had important effects on the burst strength, while the effect of the initial ovality was small. (ASME)
    Citation
    Journal of Pressure Vessel Technology, 129(4): 763-770
    Publisher
    ASME (American Society of Mechanical Engineers)
    Journal
    Journal of Pressure Vessel Technology
    URI
    http://hdl.handle.net/2436/29557
    DOI
    10.1115/1.2767370
    Additional Links
    http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JPVTAS000129000004000763000001&idtype=cvips&gifs=yes
    Type
    Journal article
    Language
    en
    Description
    The research presented advances the understanding of the accurate prediction of burst strength in the drill casings used in the offshore oil and gas industry. The derived predictive equations involve a Limit-State-Design methodology, a methodology common in building structures, but novel in its application to drill casings. The potential exploitation of the software algorithms is currently being evaluated.
    ISSN
    00949930
    ae974a485f413a2113503eed53cd6c53
    10.1115/1.2767370
    Scopus Count
    Collections
    Faculty of Science and Engineering

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