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Petroleum Science and Technology Volume 40, 2022 - Issue 9
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Drilling/Production

An experimental approach for verifying the effectiveness of the optimized scheme of gas detector placement in process installations

Bo ZhangDepartment of Safety Science & Engineering, China University of Petroleum East China - Qingdao Campus, Qingdao, ChinaORCID Iconhttps://orcid.org/0000-0002-6070-9009View further author information
ORCID Icon,
Linyue PanDepartment of Safety Science & Engineering, China University of Petroleum East China - Qingdao Campus, Qingdao, ChinaView further author information
,
Zhikang NingDepartment of Safety Science & Engineering, China University of Petroleum East China - Qingdao Campus, Qingdao, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5607-7619View further author information
ORCID Icon &
Zhicheng ChuDepartment of Safety Science & Engineering, China University of Petroleum East China - Qingdao Campus, Qingdao, ChinaView further author information
Pages 1033-1050 | Published online: 09 Dec 2021

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Fei Xiao, Jianfeng Li, Xiaochun Zheng, Jingjian Liu, Min Luo & Jiaqiang Jing. (2023) A neural network for evaluating the concentration of leaked gas clouds detected by TDLAS at oil and gas stations. Petroleum Science and Technology 0:0, pages 1-20.
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Rui Liu, Hong-Bo Deng, Chuan-Lin Mou, Lin-Yuan Wang, Fei Wang, Xin-Yu Xiong & Ya-Dong Li. (2022) FLACS-Based Simulation of Combustible Gases Leaked from the Pressure Device for the Optimizing of Gas Detectors’ Setup. Safety 8:3, pages 53.
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