An integrated risk assessment of onshore gas transmission pipelines based on defect population
Maciej Witek , Anatolii Batura , Igor Orynyak , Mykhailo Borodii
AbstractNowadays, widely developed natural gas grid systems constitute an important and the most effective way of hydrocarbons onshore transportation. Safe operation of these systems is provided by a number of well-developed strength analysis methods, technical facilities and thoughtful rules. The main risk of the pipelines maintenance is proximity to the zones with high population density, such as urban and industry areas or roads. Thus, a potential rupture of the pipeline, natural gas outflow, its ignition or explosion may bring serious consequences to human beings, such as injuries or death, for example, Ufa train wreck . A risk quantification was introduced to evaluate a pipeline maintenance potential consequences. The risk assessment helps the operator to effectively answer the following questions. Is the safety of the pipeline satisfactory or not? How does the pipeline operational risk change over time? Which pipeline or its segment is the most dangerous when the risk volume is analyzed? Which pipeline should be investigated first, e.g. by the in-line nondestructive diagnostics and what inspections intervals should be chosen? Which defects should be repaired first? The risk is a relatively objective parameter of pipeline danger evaluation for its surrounding and ageing process, which can be used to make a maintenance activity economically effective. In the year 2000, both development and application of common methodologies to control the major hazard of transmission pipelines in Europe was recommended as a significant part of safety management systems.
|Journal series||Engineering Structures, ISSN 0141-0296, (A 40 pkt)|
|Publication size in sheets||0.75|
|Keywords in English||gas transmission, pipelines|
|Score|| = 35.0, 11-04-2019, ArticleFromJournal|
= 40.0, 11-04-2019, ArticleFromJournal
|Publication indicators||= 1; : 2017 = 2.165; : 2017 = 2.755 (2) - 2017=3.06 (5)|
|Citation count*||1 (2019-04-12)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.