Deterministic Hazard Evaluation for Natural Gas Pipes Failure

Author(s):  
Mohammad Pourgol Mohammad ◽  
Arash Mehrzad ◽  
Morteza Soleimani

Gas stations and distribution facilities in a city districts may result in accidents resulting injuries to people living in these districts. The exposure to released toxic materials is another hazard in gas pipes accidents. Therefore, the gas pipe lines demand special attention for the risk assessment. In this study, the gas pipe rupture is evaluated on accident scenarios. Fire concentration range has been analyzed for different scenarios for cold and hot weather conditions. Furthermore, the length of flame has been simulated based on releasing flammable materials with governed equations. For modeling, PHAST software is utilized for simulation of released material in environment by considering the atmosphere conditions. Sensitivity analysis is done by 10% increasing in important parameter of problem. As a case study, a gas station is used for assessment. Furthermore, the results are verified with some published studies.

2014 ◽  
Vol 1030-1032 ◽  
pp. 661-664
Author(s):  
Zhe Zuo

The risk of natural gas long-distance pipeline and main factors of accidents are analyzed in this paper. According the consequences from above, quantitative risk assessment of long-distance pipelines under specific accident scenarios are completed with the help of numerical simulation model on long-distance pipeline leakage and dispersion. What’s more, on the basis of the assessment results, the necessary conditions for long-distance pipeline safe operation are presented. Finally, conclusions and safe operations under necessary conditions given in this paper are helpful for regular operation of pipeline, accident prevention, emergency response and reasonable supervision.


2021 ◽  
Vol 16 ◽  
pp. 23-43
Author(s):  
Mouna Regaieg Cherif ◽  
◽  
Hela Moalla Frikha ◽  

This study aims to develop a new Interval Rough COmbinative Distance-based Assessment (IR CODAS) method for handling multiple criteria group decision making problems using linguistic terms. A single decision maker is unable to express his opinions or preferences on multiple criteria decisions, while a Multi-Criteria Group Decision Making MCGDM process ensures successful outcomes when handling greater imprecision and vagueness information. A real-life case study of risk assessment is investigated using our proposed IR-CODAS method to test and validate its application; a sensitivity analysis is also performed. Keywords: Interval Rough Numbers, group decision making, IR-CODAS method, risk assessment.


Author(s):  
Michel Grand Blanc ◽  
Andrea Carpignano ◽  
Sandra Dulla ◽  
Stefano Marolo

A new approach to assess the risk associated with jetfire and poolfire accidents on an offshore oil facility using cellular automata is presented. This model simulates many accident scenarios, and the related evacuation processes, adopting a Monte Carlo approach in order to evaluate an average consequence and then a more realistic value of the risk associated with these accidents. The results of this new method are discussed and compared with the results obtained from a traditional approach over a real case study. The comparison shows that this new approach supplies lower risk-related results, still being conservative; besides, it can supply further information useful in the design phase.


2020 ◽  
Vol 60 (1) ◽  
pp. 82
Author(s):  
Fariba Askari ◽  
Colin Crowley ◽  
Hojat Kord

Quantitative risk assessment (QRA) calculations for major hazard installations often involve consequence analysis calculations for thousands of events, and therefore, some simplifying assumptions are generally required. The simplifications are usually designed to make the analysis reasonably practicable and reduce the cost of the QRA. Nevertheless, the overall methodology and the applied parameters should be chosen conservatively to cover possible uncertainties. One of the key assumptions in many QRAs is the release direction, which is usually assumed to be horizontal. This is generally assumed to provide a conservative representation of all other possible release directions, which may occur vertically (upward or downward) or at an angle. A sensitivity analysis has been performed and presented in this paper to investigate how different release direction assumptions affect the results of consequence analysis, and eventually, QRA outcomes, i.e. individual and societal risk results. A high-pressure hydrocarbon system is considered as a case study and SNC-Lavalin’s (formerly Atkins) in-house QRA software, ‘RiskTool’, has been used to carry out the QRA modelling. The overall conclusion is that the assumption that all releases are horizontal may lead to a significant underprediction of risks for some types of high-pressure release events. This is because an unimpeded horizontal jet may entrain air, and hence, dilute much more rapidly than a jet that impinges on the ground or nearby obstacles.


2021 ◽  
Vol 8 (1) ◽  
pp. 37
Author(s):  
Sama Al-Dabbagh ◽  
Hadil AL-Shouhani ◽  
Nabaa Hussein

A series of huge wildfires occurred in some regions of Lebanon in mid-October 2019, when the region witnessed a heat wave with high averages of minimum and maximum temperatures, accompanied by dry weather conditions. This study aimed to investigate the weather pattern that predominated over Lebanon between 10 and 18 October 2019, and to study the weather factors that ignited and spread the fire in several places. The study focused on the Chouf district, in Mount Lebanon Governorate, which witnessed the most severe wildfire outbreak, based on ERA5 atmospheric reanalysis data at the surface and upper levels between 10 and 18 October 2019. It was found that the existence of an atmospheric blocking system over the region for many days was the main factor in the creation of the dry and extremely hot weather, and that the breakdown of the ridge ignited the fire, reinforcing the wildfire’s intensity and spreading fire patches to other regions.


Author(s):  
Shunxi Li ◽  
Jinghao Long ◽  
Pang‐Chieh Sui ◽  
Zhengxi Hou ◽  
Richard Chahine ◽  
...  

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