YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Pressure Vessel Technology
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Pressure Vessel Technology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Experimental Study and Prediction Model of Casing Wear in Oil and Gas Wells

    Source: Journal of Pressure Vessel Technology:;2016:;volume( 138 ):;issue: 003::page 31404
    Author:
    Lian, Zhanghua
    ,
    Zhang, Qiang
    ,
    Lin, Tiejun
    ,
    Li, Kuncheng
    ,
    Liu, Yonghui
    DOI: 10.1115/1.4032473
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With the development of drilling technology and reinforced exploration and exploitation of unconventional reservoirs, there has been a great increase of complex wells. Meanwhile, however, consequent casing wear is and will continue to be a serious problem that causes enormous economic losses and many safety issues. The purpose of this paper is to find out the mechanism of casing wear and establish casing wear prediction model. Casing wear experiment was carried out to study the effect of contact force, rotation speed, and casing grade on wear depth. Meanwhile, wear coefficients under different working conditions were obtained through the normalizing of data. With the extensive research of downhole drag and torque calculation method, a contact force calculation model was established. Through the combination of crescentshaped model and wearefficiency model, the past complicated casing wear prediction models and confusing empirical formulae were greatly simplified. Therefore, the wear volume and depth of the casing string can be accurately predicted. Finally, a prediction software was developed to predict downhole casing wear of oil and gas wells. Comparison with the field data confirmed that the established model and software had enough accuracy to help predict and analyze casing wear at field.
    • Download: (2.092Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Experimental Study and Prediction Model of Casing Wear in Oil and Gas Wells

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/162374
    Collections
    • Journal of Pressure Vessel Technology

    Show full item record

    contributor authorLian, Zhanghua
    contributor authorZhang, Qiang
    contributor authorLin, Tiejun
    contributor authorLi, Kuncheng
    contributor authorLiu, Yonghui
    date accessioned2017-05-09T01:32:48Z
    date available2017-05-09T01:32:48Z
    date issued2016
    identifier issn0094-9930
    identifier otherpvt_138_03_031404.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/162374
    description abstractWith the development of drilling technology and reinforced exploration and exploitation of unconventional reservoirs, there has been a great increase of complex wells. Meanwhile, however, consequent casing wear is and will continue to be a serious problem that causes enormous economic losses and many safety issues. The purpose of this paper is to find out the mechanism of casing wear and establish casing wear prediction model. Casing wear experiment was carried out to study the effect of contact force, rotation speed, and casing grade on wear depth. Meanwhile, wear coefficients under different working conditions were obtained through the normalizing of data. With the extensive research of downhole drag and torque calculation method, a contact force calculation model was established. Through the combination of crescentshaped model and wearefficiency model, the past complicated casing wear prediction models and confusing empirical formulae were greatly simplified. Therefore, the wear volume and depth of the casing string can be accurately predicted. Finally, a prediction software was developed to predict downhole casing wear of oil and gas wells. Comparison with the field data confirmed that the established model and software had enough accuracy to help predict and analyze casing wear at field.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleExperimental Study and Prediction Model of Casing Wear in Oil and Gas Wells
    typeJournal Paper
    journal volume138
    journal issue3
    journal titleJournal of Pressure Vessel Technology
    identifier doi10.1115/1.4032473
    journal fristpage31404
    journal lastpage31404
    identifier eissn1528-8978
    treeJournal of Pressure Vessel Technology:;2016:;volume( 138 ):;issue: 003
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian