In
order
to
accurately
predict
the
injection
and
production
gas
flow
rate
wellhead
pressure
for
compressed
air
energy
storage
in
salt
cavern,
a
coupled
prediction
model
of
based
on
pipe
theory
was
established
this
paper.
And,
high-precision
high-speed
iterative
solution
algorithm
proposed
achieve
accurate
rapid
rate,
pressure,
total
loss.
Furthermore,
influences
factors
such
as
cavity
connectivity,
number
cavities,
depth
wells,
columns,
size
medium
loss
were
discussed.
The
research
results
indicate
that:
①
There
are
good
stability,
fast
convergence
speed,
consistency
between
predicted
on-site
measured
data
model.
②
Under
condition
that
is
connected,
will
be
evenly
distributed
each
well,
well
consistent.
not
wells
with
higher
have
greater
③
With
increase
chambers,
decrease
chamber
depth,
single
tube
decreases.
However,
changes
only
influenced
by
various
factors,
but
also
closely
related
operating
conditions.
④
When
other
conditions
remain
unchanged,
gases
lower
relative
molecular
weight
(such
hydrogen
helium)
during
process.
impact
relatively
small.
can
provide
theoretical
guidance
reasonable
allocation
cavern.
It
help
ensure
safe
efficient
operation
cavern
China.
Energies,
Journal Year:
2023,
Volume and Issue:
16(17), P. 6173 - 6173
Published: Aug. 25, 2023
The
leakage
of
the
injection–production
string
is
one
important
hidden
dangers
for
safe
and
efficient
operation
underground
salt
cavern
gas
storage.
Although
distributed
fiber
optic
temperature
measurement
system
(DTS)
can
accurately
locate
position
port,
how
to
establish
quantitative
relationship
between
difference
rate
port
still
needs
further
exploration.
This
paper
proposes
a
new
prediction
model
based
on
DTS
monitoring
takes
into
account
gas’s
physical
parameters,
unstable
conditions,
Joule–Thomson
effect.
In
order
verify
accuracy
model,
simulation
experiment
was
carried
out.
test
results
show
that
relative
deviation
predicted
measured
value
less
than
5%
compared
with
calculated
value.
When
drops
0.16
m3/h
range
0.5
°C,
it
difficult
monitor
DTS.
this
study
help
improve
early
warning
time
storage
leakage.
Based
on
the
similarity
theory,
a
large-size
salt
rock
horizontal
well
cavity-leaching
test
platform
was
built,
and
horizontal-well
cavity
leaching
tests
with
nitrogen
cushion
were
carried
out,
based
parameters,
extension
characteristics
of
morphology
influence
law
parameters
analysed;
through
establishment
numerical
models
reflecting
actual
cavities
characteristics,
long-term
stability
analysis
in
combination
distribution
displacements
plastic
zones
operation
analysed.
In
order
to
accurately
predict
the
injection
and
production
gas
flow
rate
wellhead
pressure
for
compressed
air
energy
storage
in
salt
cavern,
a
coupled
prediction
model
of
based
on
pipe
theory
was
established
this
paper.
And,
high-precision
high-speed
iterative
solution
algorithm
proposed
achieve
accurate
rapid
rate,
pressure,
total
loss.
Furthermore,
influences
factors
such
as
cavity
connectivity,
number
cavities,
depth
wells,
columns,
size
medium
loss
were
discussed.
The
research
results
indicate
that:
①
There
are
good
stability,
fast
convergence
speed,
consistency
between
predicted
on-site
measured
data
model.
②
Under
condition
that
is
connected,
will
be
evenly
distributed
each
well,
well
consistent.
not
wells
with
higher
have
greater
③
With
increase
chambers,
decrease
chamber
depth,
single
tube
decreases.
However,
changes
only
influenced
by
various
factors,
but
also
closely
related
operating
conditions.
④
When
other
conditions
remain
unchanged,
gases
lower
relative
molecular
weight
(such
hydrogen
helium)
during
process.
impact
relatively
small.
can
provide
theoretical
guidance
reasonable
allocation
cavern.
It
help
ensure
safe
efficient
operation
cavern
China.
In
order
to
accurately
predict
the
injection
and
production
gas
flow
rate
wellhead
pressure
for
compressed
air
energy
storage
in
salt
cavern,
a
coupled
prediction
model
of
based
on
pipe
theory
was
established
this
paper.
And,
high-precision
high-speed
iterative
solution
algorithm
proposed
achieve
accurate
rapid
rate,
pressure,
total
loss.
Furthermore,
influences
factors
such
as
cavity
connectivity,
number
cavities,
depth
wells,
columns,
size
medium
loss
were
discussed.
The
research
results
indicate
that:
①
There
are
good
stability,
fast
convergence
speed,
consistency
between
predicted
on-site
measured
data
model.
②
Under
condition
that
is
connected,
will
be
evenly
distributed
each
well,
well
consistent.
not
wells
with
higher
have
greater
③
With
increase
chambers,
decrease
chamber
depth,
single
tube
decreases.
However,
changes
only
influenced
by
various
factors,
but
also
closely
related
operating
conditions.
④
When
other
conditions
remain
unchanged,
gases
lower
relative
molecular
weight
(such
hydrogen
helium)
during
process.
impact
relatively
small.
can
provide
theoretical
guidance
reasonable
allocation
cavern.
It
help
ensure
safe
efficient
operation
cavern
China.
