Projects per year
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.
Original language | English |
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Title of host publication | 2019 25th International Conference on Automation and Computing (ICAC) |
Place of Publication | Piscataway, NJ. |
Publisher | IEEE |
ISBN (Electronic) | 9781861376657 |
ISBN (Print) | 9781728125183 |
DOIs | |
Publication status | Published - 11 Nov 2019 |
Keywords
- inspection robots
- oil and gas industry
- autonomous inspection
- defects detection
- asset integrity
Projects
- 1 Finished
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OGTC Robotics Vessel Inspection
Dobie, G., Gachagan, A., MacLeod, C. N., Pierce, G., Yan, X. & Yang, E.
Net Zero Technology Centre Limited ( formerly the Oil & Gas Technology Centre OGTC)
20/06/18 → 30/06/21
Project: Research
Research output
- 8 Citations
- 1 Literature review
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A survey on radio frequency based precise localisation technology for UAV in GPS-denied environment
Yang, B. & Yang, E., 6 Oct 2021, In: Journal of Intelligent and Robotic Systems. 103, 3, 38.Research output: Contribution to journal › Literature review › peer-review