IntechOpen eBooks,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 10, 2025
Gas
pipelines
are
fundamental
structures
for
transporting
energy
resources.
Their
integrity
is
constantly
threatened
by
failures
caused
potential
punctures
or
ruptures,
leading
to
gas
releases,
which
can
have
significant
consequences
the
installation,
people,
and
environment.
Various
methodologies
been
proposed
improve
Pipeline
Structural
Integrity
Management
(PSIM)
processes.
In
this
work,
a
model
estimating
probability
of
release
failure
using
Quantitative
Fault
Tree
Analysis
(QFTA)
approach.
The
Minimum
Cut
Set
(MCS)
technique
applied
along
with
assessment
Importance
Measures
(IM)
provide
an
accurate
estimation
rate
(λ)
identification
most
critical
basic
events.
This
information
be
used
support
actions
in
Risk-Based
Inspection
(RBI)
Reliability-Centered
Maintenance
(RCM)
eliminate,
control,
mitigate
risks.
was
validated
comparing
results
obtained
through
Monte
Carlo
Simulation
data
from
official
databases
pipeline
incidents/accidents
similar
models
published
literature.
proved
capable
accurately
(λ),
closely
matching
database
values
more
convergent
than
those
achieved
reference
study
also
provides
guidelines
correct
effective
application
PSIM
routines.
The Canadian Journal of Chemical Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Март 11, 2024
Abstract
Oil
and
gas
pipelines
are
exposed
to
harsh
operating
conditions
that
facilitate
their
susceptibility
complex
corrosion
mechanisms.
This
affects
integrity
results
in
failure
with
associated
consequences.
Capturing
these
phenomena
requires
a
robust
approach.
study
proposes
the
application
of
dynamic
probabilistic
model
capture
key
influential
factors
contribute
under‐deposit
(UDC)
mechanism
oil
pipelines.
The
Bayesian
network
assesses
pipeline's
(degradation
rate)
UDC,
capturing
parametric
dependencies.
predicted
rates
input
data
for
propagation
prediction.
Three
semi‐empirical
models
used
comparative
assessment
establish
degree
given
prevalent
parameters.
proposed
approach
is
tested
on
an
offshore
pipeline,
impact
parameters
predicted.
result
shows
percentage
increase
degradation
rate
by
18.7%,
33.2%,
35.8%,
63.4%,
respectively,
various
interaction
scenarios.
present
offers
adaptive
technique
would
provide
early
warning
guide
pipeline
aid
management
assets
suffering
from
deposit
corrosion.
