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PipeTech
is the state of the art Award
Winning CFD
computer programme for modelling and predicting release rates
following
the rupture of pressurised pipelines. PipeTech is used by major corporations
such as British Petroleum International, Royal
Dutch Shell and
Government regulatory bodies such as the UK
Health and Safety Executive and Health
and Safety Laboratory.
Pressurised pipelines are frequently used for the transport of large
quantities of hydrocarbons. In the case of a typical 150 km , 0.8
m i.d pipeline
transporting natural gas at 100 bar from an offshore platform in the North Sea
for example, the amount inventory present is 637,000 kg. This
represents an enormous source of energy release which in the event
of pipeline rupture poses the risks of general and extreme
fire exposure to all personnel in open platform areas, and also undermines
platform integrity. The Piper Alpha tragedy clearly
demonstrated the catastrophic nature of this type of accident.
Indeed in recent years, the number of incidents
involving accidental release from
pipelines have increased at an alarming rate. An average of over 6.3 million
gallons of oil and other hazardous liquids
are reported released from pipelines each year, more than half the amount
released from the Exxon Valdez disaster.
According to data published by the US Department of Transport (1997), even
short, simple pipelines will have a reportable accident during a 20 year life
time. Operators of long pipelines (1000 km or over) can expect a reportable
accident at a frequency of 1 per year. In response to such alarming statistic,
the US
Senate on Commerce, Science and Transportation has set up a special committee
to consider implementing legislation to improve pipeline safety. ‘As
a priority, pipeline operators are required to act quickly to ensure that pipelines
near high consequence areas are free from defects that might result in an accident.’ Central
in assessing the consequences associated with such failures is the ability to accurately predict the variation of release
rate with time following pipeline rupture.
keywords: Pipeline rupture modelling,
pipeline rupture,pressurised pipelines, pressurised release,risk assessment,hazard
analysis,PipeTech
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