Research Progress on CO2 as Geothermal Working Fluid: A Review
Lianghan Cong,
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Shuaiyi Lu,
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Pan Jiang
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et al.
Energies,
Journal Year:
2024,
Volume and Issue:
17(21), P. 5415 - 5415
Published: Oct. 30, 2024
With
the
continuous
increase
in
global
greenhouse
gas
emissions,
impacts
of
climate
change
are
becoming
increasingly
severe.
In
this
context,
geothermal
energy
has
gained
significant
attention
due
to
its
numerous
advantages.
Alongside
advancements
CO2
geological
sequestration
technology,
use
as
a
working
fluid
systems
emerged
key
research
focus.
Compared
traditional
water-based
fluids,
possesses
lower
viscosity
and
higher
thermal
expansivity,
enhancing
mobility
reservoirs
enabling
more
efficient
heat
transfer.
Using
not
only
improves
extraction
efficiency
but
also
facilitates
long-term
within
reservoirs.
This
paper
reviews
recent
progress
on
Enhanced
Geothermal
Systems
(EGS),
with
focus
potential
advantages
improving
exchange
power
generation
capacity.
Additionally,
study
evaluates
mineralization
effects
reservoirs,
well
impact
reservoir
properties.
Finally,
discusses
technological
developments
economic
analyses
integrating
other
technologies.
By
systematically
reviewing
EGS,
provides
theoretical
foundation
for
future
development
using
fluid.
Language: Английский
Integrated modelling of CO2 plume geothermal energy systems in carbonate reservoirs: Technology, operations, economics and sustainability
Abdulrasheed Ibrahim Yerima,
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Haylay Tsegab,
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Maman Hermana
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et al.
Renewable Energy,
Journal Year:
2024,
Volume and Issue:
233, P. 121162 - 121162
Published: Aug. 10, 2024
Language: Английский
Volumetric carbon storage capacity estimation at Mississippi Canyon Block 118 in the Gulf of Mexico using Post-Stack Seismic Inversion
International journal of greenhouse gas control,
Journal Year:
2025,
Volume and Issue:
141, P. 104319 - 104319
Published: Jan. 22, 2025
Language: Английский
Permeability Prediction and Potential Site Assessment for CO2 Storage from Core Data and Well-Log Data in Malay Basin Using Advanced Machine Learning Algorithms
Md. Yeasin Arafath,
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AKM Eahsanul Haque,
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Numair Ahmed Siddiqui
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et al.
ACS Omega,
Journal Year:
2025,
Volume and Issue:
10(6), P. 5430 - 5448
Published: Feb. 5, 2025
Establishing
a
potential
site
characterization
for
carbon
dioxide
(CO2)
storage
in
geological
formations
anticipates
the
appropriate
reservoir
properties,
such
as
porosity,
permeability,
and
so
forth.
Well
logs
seismic
data
were
utilized
to
determine
key
including
volume
of
shale,
water
saturation.
These
properties
cross
validated
with
core
sets
ensure
accuracy.
To
enhance
permeability
estimation,
sophisticated
machine
learning
(ML)
methods
employed,
categorizing
into
five
classes
ranging
from
extremely
good
(0)
very
low
(4).
Two
ML
models,
Naïve
Bayes
(NB)
multilayer
perceptron
(MLP),
applied
predict
permeability.
The
MLP
model
outperformed
NB
model,
achieving
99%
training
accuracy
93%
testing
accuracy,
compared
78
73%,
respectively,
model.
resulting
comprehensive
revealed
distribution
across
three
stratigraphic
layers:
B100
zone
exhibited
suitable
caprock,
while
D35-1
D35-2
zones
demonstrated
excellent
indicating
CO2
reservoirs.
"X"
field
reservoir,
located
at
depths
exceeding
1300
m,
meets
depth
requirements
(1000–1500
m)
storage.
Our
integrated
approach,
combining
empirical
ML-based
calculations
well
logs,
proved
effective
characterizing
reservoir.
lithological
defined
nonreservoir
sections
between
clay
silt
lines,
identifying
important
caprocks
interbedded
shale/clay
intervals.
Seismic
profiling
confirmed
continuous
caprock
overlying
D
group
zone,
crucial
preventing
upward
migration.
This
analysis
supports
Malay
Basin
viable
storage,
contributing
ongoing
efforts
capture
research.
Language: Английский
The role of carbon dioxide in enhancing geothermal energy: A review of current developments and future potential
S. Ida Evangeline,
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S. Darwin
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Renewable and Sustainable Energy Reviews,
Journal Year:
2025,
Volume and Issue:
214, P. 115525 - 115525
Published: Feb. 21, 2025
Language: Английский
Evaluating the potential of depleted gas reservoirs for carbon storage: A comprehensive fuzzy DEMATEL assessment of influential factors
Xiao Hu,
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Jun Xie,
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Aihua Yan
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et al.
Fuel,
Journal Year:
2025,
Volume and Issue:
393, P. 134986 - 134986
Published: March 13, 2025
Language: Английский
Assessing the Potential of Subsurface Offshore Resources for Geothermal Energy Production, Carbon Dioxide Storage, and Hydrogen Storage
Adegoke Olugboyega Badejo,
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N. M. Angelina,
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Abubakar Isah
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et al.
Offshore Technology Conference,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 28, 2025
Abstract
This
study
evaluates
the
technical
feasibility
of
offshore
subsurface
formations
for
CO2
storage,
Plume
Geothermal
(CPG),
hydrogen
and
thermal
energy
storage.
The
goal
is
to
understand
how
these
processes
behave
in
similar
reservoirs
impact
water
depth,
geological
reservoir
properties,
operational
practices.
behavior
was
studied
using
numerical
simulations
sensitivity
analyses,
focusing
on
thermoporoelastic
stresses,
pressure
build-up,
drawdown,
injection
rates,
caprock
integrity.
results
show
that
shallow
depths
delay
fracture
initiation,
reduce
stress-related
risks,
lead
less
heat
loss
cases
involving
extraction.
Large
permeability
emerged
as
key
factor
maintaining
storage
integrity,
with
low-permeability
showing
increased
risks
fractures,
especially
during
Operational
practices
also
played
a
critical
role.
For
instance,
reinjection
after
shut-in
or
fully
perforating
particularly
formations.
Strategies
such
bottom-perforation
use
multiple
wells
reduced
helped
maintain
Thermal
shown
be
viable
offshore,
but
its
success
depends
selecting
temperatures
favorable
injected
minimize
maximize
recovery.
Hydrogen
although
requiring
larger
pressures,
proved
feasible
at
evaluated
rates
no
though
higher
could
risks.
Offshore
hold
significant
promise
multi-use
platforms
CPG
These
findings
importance
aligning
conditions
ensure
integrity
optimize
efficiency.
Future
research
would
focus
longer
simulation
durations,
different
settings,
economic
considerations
deepen
understanding
systems.
Language: Английский