Materials,
Год журнала:
2024,
Номер
17(16), С. 4078 - 4078
Опубликована: Авг. 16, 2024
The
effect
of
crevice
size
on
the
corrosion
N80
carbon
steel
was
investigated
by
electrochemical
measurements
and
surface
analysis
in
a
CO2-saturated
NaCl-HAc
solution.
exhibits
high
susceptibility
to
this
environment,
which
can
be
initiated
immediately
without
an
induction
period
for
specimens
with
sizes
100
μm,
300
500
μm.
Typically,
solutions
become
more
acidic
during
corrosion;
however,
study,
solution
became
alkaline,
resulting
galvanic
between
inner
outer
surfaces
leading
severe
corrosion.
pH
levels
μm
are
similar,
but
both
notably
higher
than
that
specimen
size.
As
result,
there
is
no
significant
difference
phenomenon
sizes,
it
iScience,
Год журнала:
2023,
Номер
27(1), С. 108594 - 108594
Опубликована: Ноя. 30, 2023
Carbon
capture,
utilization,
and
storage
(CCUS)
technology
is
widely
recognized
as
a
key
solution
for
mitigating
global
climate
change.
Consequently,
it
has
received
significant
attention
from
countries
worldwide.
However,
carbon
dioxide
corrosion
poses
challenge
to
CCUS
represents
bottleneck
the
large-scale
development
application
of
this
technology.
To
mitigate
issue,
review
starts
with
discussion
problems
in
CCUS.
Later,
fundamentals
mechanism
are
introduced.
Then,
influences
various
factors
that
affect
highlighted,
such
water
content,
pH,
flow
rate,
etc.
Afterward,
we
summarize
commonly
used
methods
protection,
particular
focus
on
inhibitor,
given
their
eco-friendly
effective
nature.
Lastly,
challenges
prospects
discussed
motivate
future
studies
developing
novel,
high-performance
green
inhibitor
studying
corresponding
protection
mechanisms,
hoping
make
some
contributions
emission
reduction.
ACS Omega,
Год журнала:
2024,
Номер
9(26), С. 27798 - 27831
Опубликована: Июнь 15, 2024
API
(American
Petroleum
Institute)
steels
are
the
most
employed
metal
alloys
in
oil
industry
due
to
their
outstanding
mechanical
properties;
however,
protection
is
considered
as
an
imperative
matter
because
of
corrosion
damage
vulnerability
when
exposed
different
surroundings
that
provoke
a
rate
increase
concomitant
redox
reactions.
This
problematic
situation
becomes
more
relevant
generation
and/or
use
one
or
various
aqueous
corrosive
environments
occur,
addition
process
conditions,
result
which
extremely
difficult
be
controlled.
For
these
reasons,
internal
and
external
metallic
systems
fundamental
concern,
where
often
controlled
through
inhibitors
(CIs).
The
present
review
analyzes
researchers'
contributions
last
years
study
evaluation
CIs
for
steel
media
featuring
HCl,
H2SO4,
H3NSO3H,
CO2,
H2S,
NaCl,
production
water
under
temperature
flow
conditions.
Different
derived
from
plant
extracts,
drugs,
nanoparticles,
ionic
liquids,
mainly
destined
acid
media,
were
found.
Throughout
review,
exhaustive
analysis
inhibition
results
carried
out
based
on
gravimetric
electrochemical
techniques
consider
weight
loss
material
electrical
behavior
(current
density,
resistance,
capacitance,
frequency,
impedance,
etc.).
Likewise,
computational
analyses
those
surface
taken
into
account
reinforce
CIs.
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.
Revista de Gestão Social e Ambiental,
Год журнала:
2025,
Номер
19(4), С. e011729 - e011729
Опубликована: Апрель 7, 2025
Objectives:
This
study
aims
to
develop
a
Fault
Tree
Analysis
(FTA)
model
assess
the
structural
integrity
of
pipelines,
addressing
critical
vulnerabilities
these
systems
face,
such
as
corrosion,
material
defects,
and
damage
from
external
sources.
Theoretical
Framework:
The
is
based
on
systematic
literature
review
industry
data,
identifying
significant
failure
modes
ruptures
punctures,
while
also
elucidating
their
underlying
causes
potential
consequences
in
context
pipeline
management.
Method:
research
employs
approach
compile
analyze
existing
information
order
construct
fault
tree
that
can
be
used
for
quantitative
risk
assessments.
Results
Discussion:
primary
outcome
development
not
only
identifies
but
clarifies
interrelationships
between
them,
thereby
providing
more
robust
understanding
mechanisms
affect
safety.
Research
Implications:
work
contributes
management
gas
transportation
network
by
offering
valuable
tool
informed
decision-making
regarding
safety
sustainability
systems.
Originality/Value:
originality
this
lies
specific
FTA
failures
involving
product
releases,
growing
need
effective
methodologies
manage
risks
essential
infrastructures.
Corrosion Reviews,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 8, 2025
Abstract
Oil
and
gas
pipelines
play
an
important
role
in
the
energy
transportation
industry,
but
metal
corrosion
can
affect
safe
operation
of
pipeline
equipment.
This
study
uses
CiteSpace
software
to
synthesize
analyze
models
keywords
from
research
institutions,
countries,
methods
related
prediction.
The
investigation
into
mechanisms
corrosion,
with
a
specific
emphasis
on
CO
2
H
S
has
revealed
that
several
factors
influence
process,
including
temperature,
partial
pressure,
medium
composition
product
film.
In
addition,
provides
comprehensive
review
prediction
models.
These
include
traditional
empirical,
semi-empirical,
mechanism-based
models,
as
well
advanced
machine
learning
techniques
such
random
forest,
artificial
neural
network
model,
support
vector
machine,
dose-response
function.
Although
there
are
many
ways
improve
model
performance,
no
universally
accepted
have
been
established.
Therefore,
further
in-depth
is
needed
accuracy
these
provide
guidance
for
improving
operational
safety
pipelines.
