An integrated quantitative risk analysis method for natural gas pipeline network

Han, Zhizhong; Weng, W.G.

doi:10.1016/j.jlp.2010.02.003

Cited by 118 publications

(60 citation statements)

References 21 publications

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“…This method consists of a probability assessment, a consequence analysis and a risk evaluation [25]. Fig.…”

Section: Quantitative Risk Assessment Methodsmentioning

confidence: 99%

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Comparison study on qualitative and quantitative risk assessment methods for urban natural gas pipeline network

Han

Weng

2011

Journal of Hazardous Materials

Self Cite

183

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“…This method consists of a probability assessment, a consequence analysis and a risk evaluation [25]. Fig.…”

Section: Quantitative Risk Assessment Methodsmentioning

confidence: 99%

“…Social risk can be calculated by integrating the spatial distribution of death probability and population density within the hazard area [2,10,37]. Social risk can be shown in FN-curve [2,25].…”

Section: Risk Evaluationmentioning

confidence: 99%

Comparison study on qualitative and quantitative risk assessment methods for urban natural gas pipeline network

Han

Weng

2011

Journal of Hazardous Materials

Self Cite

183

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“…The failure rate of a pipe line varies significantly with design factors, construction conditions, maintenance techniques and environmental situation, etc. [6].…”

Section: Probability Of Failure In the Ng Pipelinesmentioning

confidence: 99%

“…Therefore the overpressure from unconfined vapor cloud explosion can be ignored. The toxic effect of natural gas leakage can also be neglected [6]. So the consequences of the NG pipeline accidents are usually: thermal radiation of the jet fire and the hazard of confined explosion.…”

Section: Consequences Of the Ng Pipeline Accidentsmentioning

confidence: 99%

Design and Development of a Comprehensive Software for Risk Management of Pipelines Carrying Natural Gas: Conceptual Design

Amir-Heidari¹,

Ebrahemzadih²,

Giahi³

2014

OJSST

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Nowadays natural gas is the main source of energy in most of the countries. This energy carrier is used as a fuel in residential areas and for automobiles, power stations, and other industrial units. Gathering, transmission, and distribution pipelines carry the NG 1 from wellhead to end-users. These pipelines are exposed to various types of risks, such as corrosion, ground movement, thirdparty interference, etc. Regarding the critical role of NG in Iran and the risk of fire and explosion, it is necessary to identify, assess, and manage the risks of these pipelines properly. Since the risks of different sections of NG pipelines are completely different from each other, design, development and use of comprehensive software will be helpful in complex procedure of managing the risks of NG pipelines. In this work, the essential features of such software are surveyed.

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“…As far as transmission of natural gas is concern, maintenance for Transmission System and forecast of Transmission Network is also required if consumption is increasing day by day. Han and Weng [7] showed their work in which for safe functioning of supply system of natural gas (as there is always a chance of accident in such cases), for pipeline network of natural gas, they used method of Integrated Quantitative Risk analysis. In this technique, they worked on probability assessment of accidents, analyzed previous results (included both of outside and inside gas pipeline) and evaluated risks.…”

Section: Introductionmentioning

confidence: 99%

Selection of forecast model for consumption (four sectors) and transmission (two Piplines) of natural gas in Punjab (Pakistan) based on ARIMA model

Butt

2015

IJASP

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The main purpose of this study is to select an appropriate forecast model for Natural Gas Consumption and Transmission System. For ARIMA model, Box-Jenkins Approach (1976) has been adopted i.e. Stationarity of the series has been checked for each data set, correlogram has been estimated for identification of order of ARIMA model and a class of models has been estimated. Then, most adequate and appropriate model is selected by analyzing diagnostics checks. Later on, by comparing values of Akaike Information Criterion (AIC), Schwarz Information Criterion (SIC), and Standard Error (S.E.) of Regression, Root Mean Square Error (RMSC) and Theil Inequality Coefficient (TIC) for each model, forecast model has been finalized. In the end, forecasts have been made using models and compared these forecast values with the actual values for 2010 in order to check the accuracy of the model.

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An integrated quantitative risk analysis method for natural gas pipeline network

Cited by 118 publications

References 21 publications

Comparison study on qualitative and quantitative risk assessment methods for urban natural gas pipeline network

Comparison study on qualitative and quantitative risk assessment methods for urban natural gas pipeline network

Design and Development of a Comprehensive Software for Risk Management of Pipelines Carrying Natural Gas: Conceptual Design

Selection of forecast model for consumption (four sectors) and transmission (two Piplines) of natural gas in Punjab (Pakistan) based on ARIMA model

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