Inspection robots in oil and gas industry : a review of current solutions and future trends

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Yu, Leijian and Yang, Erfu and Ren, Peng and Luo, Cai and Dobie, Gordon and Gu, Dongbin and Yan, Xiutian; (2019) Inspection robots in oil and gas industry : a review of current solutions and future trends. In: 2019 25th International Conference on Automation and Computing (ICAC). IEEE, Piscataway, NJ.. ISBN 9781861376657 (https://doi.org/10.23919/IConAC.2019.8895089)

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Abstract

With the increasing demands for energy, oil and gas companies have a demand to improve their efficiency, productivity and safety. Any potential corrosions and cracks on their production, storage or transportation facilities could cause disasters to both human society and the natural environment. Since many oil and gas assets are located in the extreme environment, there is an ongoing demand for robots to perform inspection tasks, which will be more cost-effective and safer. This paper provides a state of art review of inspection robots used in the oil and gas industry which including remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs). Different kinds of inspection robots are designed for inspecting different asset structures. The outcome of the review suggests that the reliable autonomous inspection UAVs and AUVs will gain interest among these robots and reliable autonomous localisation, environment mapping, intelligent control strategies, path planning and Non-Destructive Testing (NDT) technology will be the primary areas of research.

ORCID iDs

Yu, Leijian, Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950, Ren, Peng, Luo, Cai, Dobie, Gordon ORCID logoORCID: https://orcid.org/0000-0003-3972-5917, Gu, Dongbin and Yan, Xiutian ORCID logoORCID: https://orcid.org/0000-0002-3798-7414;
  • Item type:Book Section
    ID code:70777
    Dates:
    Date
    Event
    11 November 2019
    Published
    9 July 2019
    Accepted
    21 May 2019
    Submitted
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:11 Dec 2019 10:50
    Last modified:18 Dec 2024 01:08
    URI:https://strathprints.strath.ac.uk/id/eprint/70777
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