An emergency task recommendation model of long-distance oil and gas pipeline based on knowledge graph convolution network

Author:

Chen Yiyue,Zhang Laibin,Hu Jinqiu,Chen Chuangang,Fan Xiaowen,Li Xinyi

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference27 articles.

1. Deep learning-based procedure compliance check system for nuclear power plant emergency operation;Ahn;Nucl. Eng. Des.,2020

2. Risk evaluation of oil and natural gas pipelines due to natural hazards using fuzzy fault tree analysis;Badida;J. Nat. Gas. Sci. Eng.,2019

3. Most fatal oil & gas pipeline accidents through history: a lessons learned approach;Biezma;Eng. Fail. Anal.,2020

4. Scale-reasoning based risk propagation analysis: an application to fluid catalytic cracking unit;Cai;Process Saf. Environ. Prot.,2018

5. Emergency response recommendation for long-distance oil and gas pipeline based on an accident case representation model;Chen;J. Loss Prev. Process Ind.,2022

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