Research and application of risk assessment and monitoring and early warning technology for oil and gas storage and transportation pipelines

Lin Chen; Xuting Wang; Yaqi Zhao; Feiran Liu; Yaqi Ma; Jinghan Xu; Limin Tang; Tian Wang

doi:10.1117/12.2692584

23 August 2023 Research and application of risk assessment and monitoring and early warning technology for oil and gas storage and transportation pipelines

Lin Chen, Xuting Wang, Yaqi Zhao, Feiran Liu, Yaqi Ma, Jinghan Xu, Limin Tang, Tian Wang

Author Affiliations +

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840M (2023) https://doi.org/10.1117/12.2692584
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

Oil and gas storage and transportation pipeline is one of the most critical infrastructure, the transportation medium generally has flammable and explosive hazard characteristics, once the production safety accident occurs, the social impact will be extremely harsh. The failure situation of oil and gas storage and transportation pipeline is systematically studied, the event tree model is constructed, and the calculation method of leakage of different forms of media is proposed. Using AI and other intelligent means and the basic algorithm model of oil leakage monitoring, an intelligent monitoring and early warning system covering the common pipe corridor area is established to monitor the alarm events such as running and dripping leakage at the pipeline sealing point and the surrounding conditions. Through data transformation, visual algorithm is used to identify the objects, environments and their interrelated relationships under the working scene, build a knowledge map, judge the matching of the current state and the normal state, and realize the early warning functions such as leakage. The research results effectively improve the efficiency of emergency response and safety risk prevention and control ability of oil and gas storage and transportation pipelines.

Citation Download Citation

Lin Chen, Xuting Wang, Yaqi Zhao, Feiran Liu, Yaqi Ma, Jinghan Xu, Limin Tang, and Tian Wang "Research and application of risk assessment and monitoring and early warning technology for oil and gas storage and transportation pipelines", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840M (23 August 2023); https://doi.org/10.1117/12.2692584

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KEYWORDS

Transportation

Risk assessment

Safety

Evolutionary algorithms

Clouds

Environmental monitoring

Failure analysis

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