Paper
15 March 2024 Study on the multiparameter monitoring system in the old VLCC for offshore oil storage
Yining Wang, Yuan Li, Wenxiang Chen, Tiangang Jin, Faxin Zhu, Jinyuan Li
Author Affiliations +
Proceedings Volume 13079, Third International Conference on Testing Technology and Automation Engineering (TTAE 2023); 130790E (2024) https://doi.org/10.1117/12.3015477
Event: 3rd International Conference of Testing Technology and Automation Engineering (TTAE 2023), 2023, Xi-an, China
Abstract
In recent years, the global oil price fluctuated greatly, offshore oil storage in the VLCC has risen gradually in foreign countries, the case of VLCC offshore oil storage has not appeared in China. In order to improve China's oil reserve system, improve effectively the profit of the old VLCC, the actual VLCC was taken as the research object, relevant research were carried out in the paper. In consideration of the actual situation of the aging equipment in the old VLCC, high potential risk of offshore oil storage and the importance of the multi-parameter monitoring so on, the design requirements of the multi-parameter monitoring system in the old VLCC for offshore oil storage were analyzed, the multi-parameter monitoring system in the old VLCC was structured by use of the software Python, the error of the monitoring system data was tested. The results shown that the errors of oxygen content and gas pressure in the multi-parameter monitoring system in the old VLCC developed were less than 2%, and the accuracy rate was more than 98%. So the multi-parameter monitoring system in the old VLCC for offshore oil storage is feasible and can provide a good guarantee for the offshore oil storage in the old VLCC.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yining Wang, Yuan Li, Wenxiang Chen, Tiangang Jin, Faxin Zhu, and Jinyuan Li "Study on the multiparameter monitoring system in the old VLCC for offshore oil storage", Proc. SPIE 13079, Third International Conference on Testing Technology and Automation Engineering (TTAE 2023), 130790E (15 March 2024); https://doi.org/10.1117/12.3015477
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KEYWORDS
Data acquisition

Data processing

Oxygen

Human-machine interfaces

Data storage

Liquids

Design and modelling

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