YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Energy Resources Technology
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Energy Resources 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

    Down-Hole Directional Drilling Dynamics Modeling Based on a Hybrid Modeling Method With Model Order Reduction

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 010::page 103202-1
    Author:
    Ke, Chong
    ,
    Song, Xingyong
    DOI: 10.1115/1.4050483
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a dynamics model for the down-hole directional drilling system based on a hybrid modeling method with model order reduction. Due to the long dimension of the drill string, a drilling model purely based on numerical methods such as the finite element method (FEM) may require a large number of meshes, which induces high computational intensity. By using a hybrid method combining FEM and the transfer matrix method (TMM), the order of the model can be significantly reduced. To further reduce the modeling order, a proper orthogonal decomposition (POD)-Galerkin projection-based approach is applied, and a set of linear normal modes (LNMs) are identified to create a reduced-order projection subspace. To this end, simulation results are presented to prove that the method can effectively capture the dominant modes of the drilling dynamics, and a computationally efficient and high fidelity reduced-order hybrid model can be reached for real-time state estimation and control design.
    • Download: (1.526Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Down-Hole Directional Drilling Dynamics Modeling Based on a Hybrid Modeling Method With Model Order Reduction

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4277806
    Collections
    • Journal of Energy Resources Technology

    Show full item record

    contributor authorKe, Chong
    contributor authorSong, Xingyong
    date accessioned2022-02-05T22:35:27Z
    date available2022-02-05T22:35:27Z
    date copyright4/13/2021 12:00:00 AM
    date issued2021
    identifier issn0195-0738
    identifier otherjert_143_10_103202.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277806
    description abstractThis paper presents a dynamics model for the down-hole directional drilling system based on a hybrid modeling method with model order reduction. Due to the long dimension of the drill string, a drilling model purely based on numerical methods such as the finite element method (FEM) may require a large number of meshes, which induces high computational intensity. By using a hybrid method combining FEM and the transfer matrix method (TMM), the order of the model can be significantly reduced. To further reduce the modeling order, a proper orthogonal decomposition (POD)-Galerkin projection-based approach is applied, and a set of linear normal modes (LNMs) are identified to create a reduced-order projection subspace. To this end, simulation results are presented to prove that the method can effectively capture the dominant modes of the drilling dynamics, and a computationally efficient and high fidelity reduced-order hybrid model can be reached for real-time state estimation and control design.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDown-Hole Directional Drilling Dynamics Modeling Based on a Hybrid Modeling Method With Model Order Reduction
    typeJournal Paper
    journal volume143
    journal issue10
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4050483
    journal fristpage103202-1
    journal lastpage103202-11
    page11
    treeJournal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 010
    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