Correction of linear fracture density and error analysis using underground borehole data
Journal of Structural Geology,
Год журнала:
2024,
Номер
184, С. 105152 - 105152
Опубликована: Май 8, 2024
Язык: Английский
Using seismic methods to detect connectivity of fracture networks controlled by strike-slip faults in ultra-deep carbonate reservoirs: A case study in northern tarim basin, China
Journal of Structural Geology,
Год журнала:
2024,
Номер
180, С. 105060 - 105060
Опубликована: Янв. 28, 2024
Язык: Английский
Pore structure characterization and reservoir quality prediction in deep and ultra-deep tight sandstones by integrating image and NMR logs
Journal of Asian Earth Sciences,
Год журнала:
2024,
Номер
272, С. 106232 - 106232
Опубликована: Июнь 17, 2024
Язык: Английский
Analysis of the Correlation Between Fracture Topology and Mechanical Properties of Rocks in Fractured Carbonate Reservoirs: in Derham Group, Fars arc Zone (Southwest Iran)
Mohadese Ajami,
Kimia Asgari,
Ali Kadkhodaie
и другие.
Marine and Petroleum Geology,
Год журнала:
2025,
Номер
unknown, С. 107368 - 107368
Опубликована: Март 1, 2025
Язык: Английский
Fracture Characterization for New Landfill Sites in Crystalline Bedrock: A Case Study from Rogaland, Southwestern Norway
Rock Mechanics and Rock Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 14, 2025
Язык: Английский
Fracture analyser: a Python toolbox for the 2D analysis of fracture patterns
Italian Journal of Geosciences,
Год журнала:
2024,
Номер
143(2), С. 1 - 15
Опубликована: Май 29, 2024
Fractures
are
the
most
common
result
of
rock
brittle
failure
in
Earth's
crust.
Their
presence,
distribution,
orientation,
and
interconnection
some
main
parameters
that
control
rock's
mechanical
characteristics
fluid
flow.
The
arrangement
fractures
on
outcrop
analogues
is
critical
predicting
mass
integrity
subsurface
migration
storage.
Here,
we
present
application
Fracture
Analyser,
a
Python
tool,
analysing
two
field
case
studies.
We
performed
analysis
remotely
from
manually
interpreted
images
fractured
vertical
wall
siliciclastic
turbidites
horizontal
pavement
karstified
limestone.
To
test
our
analysed
outcrops
at
different
scales:
first
case,
i.e.,
wall,
ground
resolution
about
0.0005
m/pixel;
second
limestone
pavement,
with
0.04
m/pixel.
demonstrate
efficiency
Analyser
objectively
repeatedly
quantifying
fracture
attributes
state
an
given
dataset,
after
digitalisation
quantify
pattern
such
as
number,
length,
spatial
position,
angle
between
scanline
fractures,
apparent
spacing,
density
(P20),
intensity
(P21).
examples
presented
this
study
efficacy
attributes.
Язык: Английский
Multi-scale fracture patterns and their effects on gas enrichment in tight sandstones: a case study of the Upper Paleozoic in the Qingshimao gas field, Ordos Basin, China
Frontiers in Earth Science,
Год журнала:
2024,
Номер
12
Опубликована: Авг. 13, 2024
A
well-connected
network
formed
by
multi-scale
fractures
is
a
key
factor
in
the
formation
of
high-quality
reservoirs
and
achievement
high
stable
oil
gas
production
tight
sandstones.
Taking
Upper
Paleozoic
Qingshimao
field
Ordos
Basin,
China,
as
an
example,
based
on
data
from
image
logs,
cores,
thin
sections,
fine
quantitative
characterization
natural
sandstone
was
carried
out.
We
also
established
method
for
dividing
patterns
discussed
effect
each
fracture
pattern
enrichment
capacity.
Results
indicate
regular
changes
length,
density,
aperture,
porosity,
permeability,
connectivity
at
different
scales.
Based
spatial
combination
scales,
four
types
were
established:
with
density
multi-orientations,
moderate-high
dual
orientations,
small-scale
moderate
low
single
orientation.
The
first
can
destroy
integrity
cap
layer,
causing
leakage.
second
favorable
area
enrichment.
third
requires
use
hydraulic
fracturing
to
obtain
commercial
airflow.
fourth
has
little
reservoir
control
storage.
study
usually
single-scale
perspective.
Understanding
development
characteristics
their
controlling
effects
helps
comprehensively
understand
configuration
relationship
structure
promotes
research.
Язык: Английский
Fracture Density Prediction of Basement Metamorphic Rocks Using Gene Expression Programming
Minerals,
Год журнала:
2024,
Номер
14(4), С. 366 - 366
Опубликована: Март 29, 2024
Many
methods
have
been
developed
to
detect
and
predict
the
fracture
properties
of
fractured
rocks.
The
standard
data
sources
for
evaluations
are
image
logs
core
samples.
However,
many
wells
do
not
these
data,
especially
old
wells.
Furthermore,
operating
both
can
be
costly,
and,
sometimes,
gathered
bad
quality.
Therefore,
previous
research
attempted
evaluate
fractures
indirectly
using
widely
available
conventional
well-logs.
Sedimentary
rocks
widespread
studied
in
literature.
reservoirs,
like
igneous
metamorphic
rock
bodies,
may
also
vital
since
they
provide
fluid
migration
pathways
store
some
hydrocarbons.
Hence,
two
bodies
this
study
any
difference
responses
on
well-log
properties.
Also,
a
quick
reliable
prediction
method
is
density
(FD)
case
unavailability
Gene
expression
programming
(GEP)
was
chosen
FD,
ten
were
used
as
input
variables.
model
produced
by
GEP
good,
with
R2
values
at
least
above
0.84
all
wells,
then
applied
without
logs.
Both
selected
showed
similar
results
which
significant
parameters
FD
spectral
gamma
ray,
resistivity,
porosity
This
proposed
validation
ensure
that
value
predictions
consistent
discriminant
function
analysis.
In
conclusion,
could
basement
Язык: Английский