검색결과 : 14건
No. | Article |
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1 |
Bayesian network and game theory risk assessment model for third-party damage to oil and gas pipelines Cui Y, Quddus N, Mashuga CV Process Safety and Environmental Protection, 134, 178, 2020 |
2 |
Analysis on accident-causing factors of urban buried gas pipeline network by combining DEMATEL, ISM and BN methods Li F, Wang WH, Dubljevic S, Khan F, Xu J, Yi J Journal of Loss Prevention in The Process Industries, 61, 49, 2019 |
3 |
A novel method for natural gas pipeline safety online monitoring based on acoustic pulse compression An Y, Wang XC, Yue B, Jin S, Wu LQ, Qu ZG Process Safety and Environmental Protection, 130, 174, 2019 |
4 |
A novel data-driven leak detection and localization algorithm using the Kantorovich distance Arifin BMS, Li ZK, Shah SL, Meyer GA, Colin A Computers & Chemical Engineering, 108, 300, 2018 |
5 |
Natural gas pipeline safety monitoring technique based on chaotic characteristics of the detected signals An Y, Wang XC, Yue B, Wu LQ, Qu ZG, Liu Y, Yue HH, Yan DX Process Safety and Environmental Protection, 118, 279, 2018 |
6 |
Pipeline risk assessment using artificial intelligence: A case from the colombian oil network Urbina AG, Aoyama A Process Safety Progress, 37(1), 110, 2018 |
7 |
Measuring the benefit of investing in pipeline safety using fuzzy risk assessment Urbina AG, Aoyama A Journal of Loss Prevention in The Process Industries, 45, 116, 2017 |
8 |
Thermodynamic interpolation for the simulation of two-phase flow of non-ideal mixtures Brown S, Peristeras LD, Martynov S, Porter RTJ, Mahgerefteh H, Nikolaidis IK, Boulougouris GC, Tsangaris DM, Economou IG Computers & Chemical Engineering, 95, 49, 2016 |
9 |
Lessons for effective integrity management from the San Bruno pipeline rupture Hayes J Process Safety Progress, 34(2), 202, 2015 |
10 |
Recommendations on X80 steel for the design of hydrogen gas transmission pipelines Briottet L, Batisse R, de Dinechin G, Langlois P, Thiers L International Journal of Hydrogen Energy, 37(11), 9423, 2012 |