Experimental study of leakage characteristics and risk prediction of N2-containing dense-phase CO2 pipelines in real transportation conditions
Process Safety and Environmental Protection,
Год журнала:
2024,
Номер
187, С. 1112 - 1125
Опубликована: Май 14, 2024
Язык: Английский
Leakage Risk Assessment in Geologic Carbon Sequestration Using a Physics-Aware Convlstm Surrogate Model
Опубликована: Янв. 1, 2025
Язык: Английский
Leakage Risk Assessment in Geologic Carbon Sequestration using a Physics-Aware ConvLSTM Surrogate Model
Advances in Water Resources,
Год журнала:
2025,
Номер
unknown, С. 105017 - 105017
Опубликована: Май 1, 2025
Язык: Английский
Investigation of scaling-down experiments for accidental CO2 leakage dispersion risks in constant-pressure transportation pipelines within the CCUS process
Process Safety and Environmental Protection,
Год журнала:
2024,
Номер
190, С. 746 - 759
Опубликована: Авг. 23, 2024
Язык: Английский
Advances and Applications of Carbon Capture, Utilization, and Storage in Civil Engineering: A Comprehensive Review
D. S. Vijayan,
Selvakumar Gopalaswamy,
Arvindan Sivasuriyan
и другие.
Energies,
Год журнала:
2024,
Номер
17(23), С. 6046 - 6046
Опубликована: Дек. 1, 2024
This
paper
thoroughly
examines
the
latest
developments
and
diverse
applications
of
Carbon
Capture,
Utilization,
Storage
(CCUS)
in
civil
engineering.
It
provides
a
critical
analysis
technology’s
potential
to
mitigate
effects
climate
change.
Initially,
comprehensive
outline
CCUS
technologies
is
presented,
emphasising
their
vital
function
carbon
dioxide
(CO2)
emission
capture,
conversion,
sequestration.
Subsequent
sections
provide
an
in-depth
capture
technologies,
utilisation
processes,
storage
solutions.
These
serve
as
foundation
for
architectural
framework
that
facilitates
design
integration
efficient
systems.
Significant
attention
given
inventive
application
building
construction
industry.
Notable
examples
such
include
using
(C)
cement
promoting
sustainable
production.
Economic
analyses
financing
mechanisms
are
reviewed
assess
commercial
feasibility
scalability
projects.
In
addition,
this
review
technological
advances
innovations
have
occurred,
providing
insight
into
future
course
progress.
A
environmental
regulatory
environments
conducted
evaluate
compliance
with
policies
technology
deployment.
Case
studies
from
real
world
provided
illustrate
effectiveness
practical
applications.
concludes
by
importance
continued
research,
policy
support,
innovation
developing
fundamental
component
engineering
practices.
tenacious
stride
toward
neutrality
underscored.
Язык: Английский
Monitoring Systems for CO2 Transport Pipelines: A Review of Optimization Problems and Methods
SSRN Electronic Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Carbon
Capture
and
Storage
(CCS)
is
a
key
technology
for
reducing
anthropogenic
greenhouse
gas
emissions,
in
which
pipelines
play
vital
role
transporting
CO2
captured
from
industrial
emitters
to
geological
storage
sites.
To
aid
efficient
safe
operation
of
the
transport
infrastructure,
robust,
accurate
reliable
solutions
monitoring
streams
are
urgently
needed.
This
paper
reviews
literature
on
objectives,
optimization
problems
mathematical
algorithms
developed
pipeline
systems
water,
oil
natural
gas,
identifies
methods
relevant
future
networks
CCS.
The
impacts
physical
properties
complex
designs
scenarios
design
discussed.
It
shown
that
most
liquid
dense
phase
sensor
placement
context
detecting
leaks
flow
anomalies
water
distribution
petroleum
liquids.
assurance
impurities
also
identified.
Optimizing
against
several
including
accuracy
measurements,
number
type
sensors,
safety
environmental
risks,
Язык: Английский
Machine Learning in Carbon Capture, Utilization, Storage, and Transportation: A Review of Applications in Greenhouse Gas Emissions Reduction
Processes,
Год журнала:
2025,
Номер
13(4), С. 1160 - 1160
Опубликована: Апрель 11, 2025
Carbon
Capture,
Utilization,
and
Storage
(CCUS)
technologies
have
emerged
as
indispensable
tools
in
reducing
greenhouse
gas
(GHG)
emissions
combating
climate
change.
However,
the
optimization
scalability
of
CCUS
processes
face
significant
technical
economic
challenges
that
hinder
their
widespread
implementation.
Machine
Learning
(ML)
offers
innovative
solutions
by
providing
faster,
more
accurate
alternatives
to
traditional
methods
across
value
chain.
Despite
growing
body
research
this
field,
applications
ML
remain
fragmented,
lacking
a
cohesive
synthesis
bridges
these
advancements
practical
This
review
addresses
gap
systematically
evaluating
all
major
components—CO2
capture,
transport,
storage,
utilization.
We
provide
structured
representative
examples
for
each
category
critically
examine
various
techniques,
objectives,
methodological
frameworks
employed
recent
studies.
Additionally,
we
identify
key
parameters,
limitations,
future
opportunities
applying
enhance
systems.
Our
thus
comprehensive
insights
guidance
stakeholders,
supporting
informed
decision-making
accelerating
ML-driven
commercialization.
Язык: Английский
Measurement of CO2 leakage from pipelines under CCS conditions through acoustic emission detection and data driven modeling
Measurement,
Год журнала:
2024,
Номер
237, С. 115164 - 115164
Опубликована: Июнь 22, 2024
Язык: Английский
Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study
Energies,
Год журнала:
2024,
Номер
17(17), С. 4200 - 4200
Опубликована: Авг. 23, 2024
Although
considerable
laboratory
and
modeling
activities
were
performed
to
investigate
the
enhanced
oil
recovery
(EOR)
mechanisms
potential
in
unconventional
reservoirs,
only
limited
research
has
been
reported
actual
EOR
implementations
their
surveillance
fields.
Eleven
pilot
tests
that
used
CO2,
rich
gas,
surfactant,
water,
etc.,
have
conducted
Bakken
play
since
2008.
Gas
injection
was
involved
eight
of
these
pilots
with
huff
‘n’
puff,
flooding,
injectivity
operations.
Surveillance
data,
including
daily
production/injection
rates,
bottomhole
pressure,
gas
composition,
well
logs,
tracer
testing,
collected
from
generate
time-series
plots
or
analytics
can
inform
operators
downhole
conditions.
A
technical
review
showed
pressure
buildup,
conformance
issues,
timely
breakthrough
detection
some
main
challenges
because
interconnected
fractures
between
offset
wells.
The
latest
operation
co-injecting
surfactant
through
same
could
be
mitigated
by
careful
design
continuous
reservoir
monitoring.
Reservoir
simulation
machine
learning
then
for
rapidly
predict
performance
take
control
actions
improve
outcomes
reservoirs.
Язык: Английский