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Oil and gas pipeline distribution networks: a new approach to access their vulnerability and risk

Authors: Pinto, J.; Varum, H.; Varajão, J.; Bentes, I.;

Oil and gas pipeline distribution networks: a new approach to access their vulnerability and risk

Abstract

The main objective of this research work is to introduce the emerging theory of vulnerability of water pipe networks and, in particular, its theoretical concepts, extrapolating them to the oil and gas pipeline distribution network fields. This expansion is almost direct and could give an important contribution for the design of new network systems, as well as for the assessment, rehabilitation and management of the existing networks and systems. The fundamental contributions of this theory are to design network pipelines more robust but also to give guidance to the technical community in order to achieve a more efficient management of this type of systems. Some highlights on risk assessment and failure scenarios of this type of systems are also given in this paper.

Country
Portugal
Related Organizations
Keywords

Risk, Vulnerability, Failure, Oil and gas pipeline networks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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