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    Remotely Operated Vehicle Taxonomy and Emerging Methods of Inspection, Maintenance, and Repair Operations: An Overview and Outlook

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2022:;volume( 145 ):;issue: 002::page 20801-1
    Author:
    Dalhatu, Abdullahi Abba
    ,
    Sa’ad, Amir Muhammed
    ,
    Cabral de Azevedo, Ricardo
    ,
    de Tomi, Giorgio
    DOI: 10.1115/1.4055476
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Remotely operated vehicle (ROV)-based inspection, maintenance, and repairs (IMR) services are costly because operations are traditionally executed by a hired subsea contractor, who then hires a specialized vessel with an entire crew from the vessel owner or the shipping company. Even though this is an established method considered relatively reliable in comparison to human divers, there is a growing need for more versatile, efficient, and economical IMR methods. Innovations that require no or less use of support vessels are mitigating this challenge. The current ROV classifications do not adapt to these innovations. Hence, the lack of a widely accepted ROV classification. Thus, this paper reviews ROV classifications and proposes a classification that poses no hindrance to innovation and conforms to modern developments. The paper then illustrates and reviews the emerging methods of conducting IMR operations by putting together in a concise, yet resourceful manner the ROV technologies and their various configurations to provide a basic meaningful understanding to the audience. This paper also provides a summary of the comparison of the methods and some of their challenges.
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      Remotely Operated Vehicle Taxonomy and Emerging Methods of Inspection, Maintenance, and Repair Operations: An Overview and Outlook

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4292450
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    contributor authorDalhatu, Abdullahi Abba
    contributor authorSa’ad, Amir Muhammed
    contributor authorCabral de Azevedo, Ricardo
    contributor authorde Tomi, Giorgio
    date accessioned2023-08-16T18:45:41Z
    date available2023-08-16T18:45:41Z
    date copyright10/7/2022 12:00:00 AM
    date issued2022
    identifier issn0892-7219
    identifier otheromae_145_2_020801.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292450
    description abstractRemotely operated vehicle (ROV)-based inspection, maintenance, and repairs (IMR) services are costly because operations are traditionally executed by a hired subsea contractor, who then hires a specialized vessel with an entire crew from the vessel owner or the shipping company. Even though this is an established method considered relatively reliable in comparison to human divers, there is a growing need for more versatile, efficient, and economical IMR methods. Innovations that require no or less use of support vessels are mitigating this challenge. The current ROV classifications do not adapt to these innovations. Hence, the lack of a widely accepted ROV classification. Thus, this paper reviews ROV classifications and proposes a classification that poses no hindrance to innovation and conforms to modern developments. The paper then illustrates and reviews the emerging methods of conducting IMR operations by putting together in a concise, yet resourceful manner the ROV technologies and their various configurations to provide a basic meaningful understanding to the audience. This paper also provides a summary of the comparison of the methods and some of their challenges.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRemotely Operated Vehicle Taxonomy and Emerging Methods of Inspection, Maintenance, and Repair Operations: An Overview and Outlook
    typeJournal Paper
    journal volume145
    journal issue2
    journal titleJournal of Offshore Mechanics and Arctic Engineering
    identifier doi10.1115/1.4055476
    journal fristpage20801-1
    journal lastpage20801-13
    page13
    treeJournal of Offshore Mechanics and Arctic Engineering:;2022:;volume( 145 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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