Abstract
Image
identification
is
a
major
means
to
achieve
quantitative
characterization
of
the
microscopic
oil
displacement
process.
Traditional
digital
image
processing
techniques
usually
uses
series
pixel-based
algorithms,
which
difficult
real-time
large-scale
images.
Deep
learning
methods
have
characteristics
fast
speed
and
high
accuracy.
This
paper
proposes
four-channel
segmentation
method
based
on
RGB
color
rock
particle
mask.
First,
micro
model
mask
divided
together
with
component
form
input
data
through
technology.
Pixel-level
training
set
labels
are
then
created
traditional
techniques.
Through
U-Net
semantic
network,
pixel-level
water
recovery
factor
calculation
polymer
process
were
carried
out.
Combined
pore
distance
transformation
algorithm,
lower
limit
utilization
for
different
media
was
clarified.
The
results
show
that
can
accurate
division
areas.
Compared
conventional
three-channel
images,
improved
proposed
in
this
has
significantly
accuracy
due
addition
constraints
mask,
global
be
Up
99%.
Combining
some
post-processing
methods,
found
flooding
increased
mobilization
degree
small
pores
basis
lowered
from
25
μm
16
μm.
In
experiments,
by
24.01%,
finally
achieving
rapid
network
article
strong
adaptability
flow
channels
Quantitative
movement
during
provides
new
processing.
Energy & Fuels,
Journal Year:
2023,
Volume and Issue:
37(7), P. 5114 - 5129
Published: March 21, 2023
The
enhancement
in
surfactant
performance
at
downhole
conditions
the
presence
of
nanomaterials
has
fascinated
researchers'
interest
regarding
applications
nanoparticle-surfactant
(NPS)
fluids
as
novel
enhanced
oil
recovery
(EOR)
techniques.
However,
governing
EOR
mechanisms
hydrocarbon
using
NPS
solutions
are
not
yet
explicit.
Pore-scale
visualization
experiments
clarify
dominant
fluid
displacement
and
trapped/residual
mobilization
solutions.
In
this
study,
influence
multiwalled
carbon
nanotubes
(MWCNTs),
silicon
dioxide
(SiO2),
aluminum
oxide
(Al2O3)
nanoparticles
on
properties
a
conventional
(sodium
dodecyl
benzene
sulfonate,
SDBS)
was
investigated
via
experimental
computational
dynamics
(CFD)
simulation
approaches.
Oil
reduced
with
increased
temperatures
micromodel
heterogeneity.
Adding
to
SDBS
decreases
fingering
channeling
effect
increases
factor.
prediction
results
agreed
results,
which
demonstrated
that
lowest
amount
(37.84%)
retained
after
MWCNT-SDBS
flooding.
within
Al2O3-SDBS
SiO2-SDBS
flooding
58.48
43.42%,
respectively.
At
80
°C,
breakthrough
times
for
MWCNT-SDBS,
Al2O3-SDBS,
displacing
were
predicted
32.4,
29.3,
21
h,
respectively,
whereas
water
injections
similar
situations
12.2
6.9
higher
time
MWCNTs
could
be
attributed
their
cylindrical
shape,
promoting
orientation
liquid–liquid
solid–liquid
interfaces
reduce
oil–water
interfacial
tension
contact
angles
significantly.
study
highlights
prevailing
NPS.
Journal of Molecular Liquids,
Journal Year:
2023,
Volume and Issue:
380, P. 121687 - 121687
Published: March 21, 2023
The
field
of
microemulsion-assisted
conformance
improvement
technology
(ME-CIT)
requires
workflow
planning
in
order
to
effectively
decrease
the
water-to-oil
ratio
during
production
operations.
This
article
deals
with
implementation
a
suitable
ME-CIT
route
via
experimental
validation.
ternary
diagram
identified
different
Winsor
regions
classify
phase
behavior.
aggregation
behavior
micellar
structures
ME
was
studied
dynamic
light
scattering
tests.
Relative
experiments
depicted
presence
I
at
low
salinity
upto
20,000
ppm
total
dissolved
salts
(TDS)
content.
At
nearly
25,000ppm,
this
altered
into
III
system.
further
changed
Type
50,000
ppm.
surfactant-based
microemulsion
exhibited
favorable
time-dependent
flow
attributes,
as
evident
from
observation
that
steady-state
viscosity
did
not
alter
markedly
elapse
time.
pseudoplastic
rheology
has
been
explained
on
macroscopic
level
and
micelle
morphology
microscopic
scale
two
phenomena:
electro-shielding
deformation.
With
increasing
salinity,
versus
salt
concentration
plots
revealed
unique
'M'
shape
7.34
s−1.
describes
an
initial
increase,
then
decreasing
trend,
followed
by
increase
eventually
near-constant
content
increases
further.
Porous
media
were
conducted
for
optimized
slug
using
sandstone
core
model.
A
pressure
drop
reduction
water-cut
percentages
recorded
flooding
stage
laboratory.
In
summary,
proposed
methodology
contributes
toward
developing
potential
microemulsions
systems
application
technology.
Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
38(16), P. 15160 - 15171
Published: July 30, 2024
Nanofluids,
as
a
novel
material
for
tertiary
oil
recovery,
have
shown
promising
potential
in
enhancing
water
flooding
efficiency
low-permeability
reservoirs
and
increasing
recovery
rates.
However,
the
risk
of
particle
agglomeration
arises
when
size
is
too
small.
Challenges
such
maintaining
dispersion
stability,
efficient
long-distance
transportation
nanofluids,
preventing
retention
emerged
key
obstacles
hindering
widespread
adoption
large-scale
implementation
nanoflooding
technology
various
reservoir
conditions.
With
issues
poor
nanoparticle
costly
reprocessing,
limited
fluid
compatibility
addressed,
nano-SiO2
particles
with
average
sizes
45,
170,
625
nm
were
synthesized
using
an
enhanced
control
technique
based
on
Stöber
method.
The
impact
these
different
dispersion,
emulsion
oil–water
interfacial
tension
(IFT),
viscosity
reduction
before
after
modification
fatty
alcohol
polyoxyethylene
ether
(AEO)
investigated.
findings
demonstrate
that
modified
exhibits
stability
reduced
IFT.
At
primary
AEO
concentration
0.25
wt
%,
micellar
structure
formation
synergizes
SiO2
to
achieve
optimal
IFT
reduction.
Smaller
are
more
amenable
surface
exhibit
superior
adsorption
capacity
at
interface
compared
larger
particles,
facilitating
interaction
asphaltene
aggregates
and,
thereby,
crude
flowability.
In
study,
170
nanosized
demonstrated
substantial
effect,
apparent
rate
95.3%
0.0025
%
+
under
test
conditions
45
°C
5
s–1,
indicating
significant
effect.
This
research
introduces
concept
designing
nanofluids
repel
tight
reservoirs,
establishing
repulsion
system.
These
not
only
advance
theoretical
understanding
but
also
contribute
development
conventional
unconventional
gas
fields,
including
deep
shale
ultraheavy
thick
reservoirs.
