Identification and grading method of HCAs in gas pipelines based on multisource data fusion

Identification and grading method of HCAs in gas pipelines based on multisource data fusion

Objective Constrained by operator proficiency and subjectivity, the traditional method for identifying high-consequence areas (HCAs) in gas pipelines exhibits shortcomings such as low efficiency and nonnegligible human errors. In recent years, the integration of satellite imagery data and Geographic...

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Bibliographic Details
Main Authors: Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG
Format: Article
Language:zho
Published: Editorial Office of Oil & Gas Storage and Transportation 2024-11-01
Series:You-qi chuyun
Subjects:
gas pipeline
high-consequence area(hca)
multi-source data
identification and grading
Online Access:https://yqcy.pipechina.com.cn/cn/article/doi/10.6047/j.issn.1000-8241.2024.11.012
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https://yqcy.pipechina.com.cn/cn/article/doi/10.6047/j.issn.1000-8241.2024.11.012

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