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From YouTube: DISC Lab Brisbane Morning
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B
B
A
A
B
A
I
measured
those
data
it
early
enough
in
time,
just
on
the
off
time
now,
I've
basically
got
just
time
to
VM
experiment.
You
can
pick
it
up,
that's
that
are
the
basket,
but
it
is
today
see-
and
now
it's
just
like
okay
I'm
going
to
do
a
condominium
start,
the
Oscars
turn
it
off
and
I'm
going
to
measure.
So
it
is
an
even
and
it's
just
that
day
is
usually
not
used,
because
what
people
are
very
much
interested
in
that
time
is
there's
actually
an
eye
piece.
It
is.
A
C
A
D
A
A
This
is
a
challenge
is
still
an
ongoing
challenge,
but
I'm
going
to
show
you
is
not
I'm
sort
of
God's
gift
to
do
business
or
the
end
of
the
whole
story,
but
it
is
something
that
has
worked
for
us,
I,
think
it's
worth
showing
so
the
talk
this
was
actually
prepared
for
a
keynote
and
for
India.
So
here's
the
few
things
in
there
there
be
you've
already
talking
about
I'm,
just
going
to
skip
over
them
very
quickly.
There's
anything
I'm
skipping
over.
D
A
A
The
time
with
some,
we
can't
to
spend
Shepherds
PhD
he's
also
so
that
you
could
have
been
finished
ages
ago,
but
got
caught
up
with
the
disc.
All
the
preparations
and
he's
been
a
real
important
person
in
developing
a
lot
of
numerical
results
that
national
seriously
and
I'm
gonna
show
today
so
sorry
says
the
city's
finishing
up
his
ph.d.
He
wasn't
co-presenter
to
me.
He
went
to
South
Asia
and
East
Asia
and
then
go
canoeing
view
with
Quincy,
not
in
North
America.
A
A
I
still,
really
it's
just
it's
a
way
of
kind
of
thinking
about
how
things
where
there's
the
same
kind
of
thing
about
you
know:
electromagnetic
induction,
thinking
about
the
quality
of
all
systems,
it's
kind
of
representative
of
television,
felch
boundary,
and
we
get
this
over
voltage
comes
in
so
the
moment
that
we
put
an
electric
field
to
quickly
start
off
with
a
completely
neutral
system.
We
put
an
electric
field
on
it,
comes
from
any
place
and
that
then
drives
pasta,
vibes
in
one
way
negative
ions
the
other
way
they
get
kind
of
blocked
up.
A
A
Dcpip
data
and
then
we
kick
the
DC
data
invert
that
in
conductivity
never
take
back,
get
a
mapping
that
connects
to
chargeability
with
IP
data,
and
we
can
invert
those
chart
for
the
luncheon
data
or
misjudgment
okay,
two
step
process
and
we're
going
to
continue
with
that
two
step
process.
Throughout
this
whole
time,
there's.
A
A
So,
what's
our
challenge
here
we're
going
to
we're
going
to
look
at
two
cases
at
some
level
there
are
the
same,
but
there's
some
fundamental
differences
here
that
paint
them
and
make
them
we're
both
being
treated
individually
and
we're
gonna
first
go
and
look
up,
grounded
sources,
so
this
is.
This
is
what
we've
got
here.
We've
got
a
current,
it's
a
loop
layout
that
looks
like
that.
We're
gonna
have
critical
in
here
and
over
here.
H
A
We're
also
going
to
look
at
adoptive
sources
and
I'm
going
to
take
you
back
to
something
I
mentioned
very
very
briefly.
This
was
the
kimberlite
deposit
in
North
America.
So
this
was
a
beat
dem
survey.
There
were
two
two
kimberlite
pipes.
These
were
full
with
different
time
domain
a.m.
systems.
The
blue
is
negative
values,
red
is
positive,
and
when
we
see
these
two
pipes
here
are
really
very
different.
This
one
has
got
purely
negative
decays.
If
we
look
at
well
for
12,
we
look
at
he'll
27
here.
A
B
A
B
H
D
A
Is
if
used
polarization
effects-
and
we
see
that
they're
quite
different,
this
guy?
That's
all
we
see
it's
just
totally
IP
contaminated,
whereas
dominant
curve
down
here,
it's
not
a
positive
part,
so
corrupt
and
normal
induction,
but
then
followed
by
that
meeting.
So
when
anything
is
happening
like
this,
where
we've
got
you
can
see
that
Ian's
abduction
and
chargeability
appreciate,
maybe
there's
something
going
on
here,
that's
complicated
and
we
can
unravel.
A
D
A
If
we
have
just
normal
frequency,
independent
feeders
that
are
talking
about
yesterday,
then
we
can
also
work
in
the
time
domain
and
we
can
write
this
quantity
here
that
J
is
equals
the
product
of
Sigma
times.
So
this
is
a
simulation
of
the
really
the
time
domain
data
that
doesn't
have
any
IP
effects.
A
However,
if
the
conductivity
is
frequency
dependent,
so
now
regrets
we're
going
to
work
in
terms
of
frequency,
so
things
are
going
to
be
tilted
time
back.
So
this
is
low
frequency.
This
is
high
frequency,
we're
going
to
use
a
cold
cold
wall,
so
statement,
infinity,
Sigma
infinity
is
the
conductivity
of
the
rock
beats
with
us
when
you're
having
either
passing
infinitely
high
frequency
and
so
effectively
what
that
means
is
that
there's
no
IP
effect.
So
this
is
this
is
the
conductivity
of
the
rock
that
doesn't
have
any
contamination
or.
A
H
A
Now
we
go
back
and
we
look
at
a
simulation
of
time
to
gain
data
with
IP.
Let's
there
to
went
to
routes,
so
we
could
work
in
the
frequency
domain.
There's
a
chain
here
and
we
can
put
in
J-
is
equal
to
Sigma
Omega
T.
So
that's
still,
it's
still
a
multiplication
and
we
can
carry
through
and
we
can
solve
this
system
at
each
frequency
and
then
we
can
take
Fourier
transform
of
that
at
the.
B
A
A
Do
the
inverse
transform
the
other
way,
and
this
is
how
we're
going
to
do
it
for
an
American
opera
music?
Oh,
if
I
gave
March
at
sea
and
we're
still
in
the
same
equation,
but
now
than
we
considered
to
be
Jay.
Jay
is
actually
the
convolution
of
sitting
on
you.
So
remember
that
completely
because
we've
got
this
guy
here,
J
is
equal
to
so
this
guy
J
is
equal
to
Sigma
of
e.
A
A
So
how
does
this
look?
Here's
our
system,
so
we've
got
asymptotic
stabilized
here,
a
direct
current.
You
turn
this
guy
off
and
we've
got
these
this
negative
transient
that
comes
down
and
here's
our
signal
that
is
got
IP
of
that
exam.
So
it's
pretty
small
right
can't
see
that
so
I'm
going
to
blow
it
up
a
little
bit.
So
now
we
take
this
guy
here
and
blow
it
off
and
now
it's
all.
This
is
negative
down
here.
B
A
A
A
So
the
fundamental
field
is
just
the
EMP
or
without
any
IP.
In
fact,
this
location
at
least
we
may
have
picked
that
up
from
Richard
Smith.
That
may
have
been.
He
made
reference
on
earlier,
but
I
think
it's
not
kind
of
standard
to
talk
about
this
forward.
Maxwell
data,
when
it's
modeled,
with
a
segment
penny
to
be
the
clock
mode.
You
know
so
we're
gonna
measure
datum.
A
A
A
Yeah
and
then
the
difference
between
them
is
going
to
be
something
that
we're
really
interested
in.
So
there's
there's
a
couple
of
parts
here:
one
is
that
in
the
early
stages
being
observed
and
fundamental
are
pretty
much
the
same
in
the
difference
between
them,
which
is
the
odd
key
curve
here
in
red.
Is
it's
way
down
here
so
early
stages,
your
p.m.
in
the
Ian
induction
regime-
and
you
don't
have
a
strong
enough,
IP
offense
to
at
later
stages
the
data
and
the
IP
effect
are
almost
the
same.
So
there's
there's
really
no
a.m.
induction.
A
A
So
as
an
example
of
that,
this
is
what
we're
going
to
do
if
Miss
the
same
example
that
you
saw
yesterday
and
we've
got
four
different,
conductivity
x'
here,
so
this
one
was
a
high
conductivity
that
one
was
just
the
same
as
background.
This
is
also
high
conductivity,
but
lower
than
that
in
this
current
system,
and
all
blocks
are
two
long's
that
are
chargeable.
This
guy
here.
H
A
A
A
At
81,
for
instance,
we
have
a
fundamental,
that's
kind
of
coming
in
yes,
a
to
these
kinds
of
curves,
so
any
wanders
there
was
no.
There
was
no
chargeability,
so
the
you
know
the
observed.
The
fundamental
is
going
to
be
exactly
the
same,
so
the
blue
and
the
black
lines
are
called
massaging
here.
The
difference
between
them
is
this
little
red
line,
so
it.
A
Anything
but
I
guess
America.
It
was
just
a
stop
coming
yet,
but
a
to
was
was
charcoal
and
we
see
what
happens
in
those
early
stages,
we're
here,
fundamental
and
observed
or
staying.
The
chargeable
signal
is
way
down
here
late
times.
The
fundamental
observed
are
completely
in
accordance
and
then
there's
this
cosmic,
a
3
which
was
moderately
conductive
and
chargeable
as
curves
of
them
at
that
an
8
tanks.
That's
what
we're
up
against
we've
got
a
off
time
at
5
milliseconds
and
the
voltages
across
the
Olympus.
A
A
A
A
Let's
just
first
vote
doing
base
suppose
we
have
the
true
conductivity
so
suppose
we
knew
what
your
productivity
was.
So
this
is
theoretically
so,
and
we
subtract
that
from
here
and
get
the
the
IP
yeah
in
that
case
the
the
alteration:
here's,
the
observations,
here's
the
fundamentals
and
here's
the
RPG.
So
this.
D
A
A
Suppose
we
take
that
same
time,
but
we
use
a
different
one.
So
it
suppose
we
just
use
a
half
space
and
so
now
create
a
representative
tax,
patient
economics
there
and
here's
your
observations,
but
now
the
fundamental
fields
just
look
like
that:
they're
pretty
blah-
and
here
we
go
ahead.
We
subtract
that
and
stand
up
for
something,
but
it
looks
like
it
is
so
we
still
now
we
really
have
this
artifact
here.
A
So
how
do
we
go
ahead
and
estimate
this
background?
Conductivity?
Well,
you
have
a
couple
options.
We
could
use
the
later
time,
PCBs
utility,
it's
not
such
a
bad
idea.
That
would
be
what
would
ordinarily
be
docking.
You'd
use
that
for
your
key
series,
just
imitate
but
again
invert
that
and
then
maybe
the
other
possibility
is
that
in
this
region
here
where
the
AM
signal
was
completely
dominated
over
any
IP
signal,
the
observations
are
essentially
p.m.
so
we
could
take
these
invert
those
to
get
a
any
reality.
A
So
the
conversion
methodology-
that's
just
the
same
as
we've
been
doing
forever.
We
did
yesterday,
so
it's
just
standard
version
in
this
case
again
we're
going
to
Dean.
If
death
waiting
we
use
these
two
pieces
do
and
the
dcpip
new
version
has
been
done
with
synthetic
time
main
conversion
that's
been
done
with.
A
So
here's
the
3d
they
series,
studium
version-
I-
showed
you
that
yesterday,
so
we
pick
up
the
two
conductors
and
there's
sister
I
have
to
use
definitely
people
to
know
that
and
if
we
do
the
decoupling
with
that
here
is
now
our
predictive
fundamental
or
using
the
conductivity
and
drunky
students
history.
So
it
gives
us
something
that
looks
like
this
so
important,
and
you
got
this
signature
here
and
we
take
the
observations.
We
subtract
that
and
we
end
up
for
something.
A
A
F
A
A
A
A
Then
you
can
invert
those
to
recover
to
do
charge
of
it.
So
we're
going
to
follow
exactly
that
simpler
when
we
do
that,
the
here's,
the
true
charge
ability,
so
these
to
goddess
were
charge
builders.
So
it's
plan,
dude,
it's
cross-section,
using
half
space
you've
got
this
anomalous
target
our
carriages
they're,
not
using
DC
resistivity
this
and
with
time
to
me.
A
So
you
can
also
look
at
these
things
by
just
to
employ
cutoff
and
there's
really
not
a
huge
amount
of
difference.
But
the
point
is
this:
tax
rate
is
a
very
viable
workflow.
There's
just
a
little
bit
fewer
artifacts
on
here,
and
the
thing
about
this
in
this
case
is
that
again
there
was
no
in
order
to
get
anything
out
of
the
be
seen
we
have
to
use
death
waiting
here.
We
didn't
have
to
do
that,
but
it's
the
paint
home
is
that.
A
A
A
A
G
Picked
up
eat
in
the
chalet
physics
world,
but
there's
a
lot
of
motion,
a
lot
of
work
on
soils
and
I'm,
clear
they
can
fight
and
generally,
if
people
do
their
fieldwork
and
they
come
up
with
a
very
confusing
result
and
they
look
at
play
with
IP
some
say
you
get
the
bigger
side
of
the
ethnic.
The
same
play.
G
Things
like
that,
so
it
doesn't
get
the
cold
car
model
I'm
thinking
that
it
might
be
a
lot
more
work,
you
down
along
the
lines
inside
so
clear
up
this
position
with,
quite
because
the
pilots
also
very
conductive,
so
watching
a
given
that
he
ever
think
I
didn't
work.
That
way,
even
think
has
been
taking
into
account.
My
studies
well.
A
A
A
A
G
E
A
D
E
A
A
H
A
You
know
you're
starting
to
build
a
charge.
That's
right!
So
this
way
they
will
charge
in
that
might
destroy
here.
Right,
CeCe
things
are
really
chaotic,
especially
as
you've
got
strong
time
variations
of,
feel
and
worry
about
your
own
time
constants,
as
you
might
have
a
particular
time,
constant.
Let's
say
no
good.
A
A
A
D
A
A
A
E
A
D
A
A
E
A
Because
things
have
kind
of
blown
out
right,
we
got
this,
you
don't
give
a
whole.
Let's
go
back
in
and
there's
often
lake
there
and
there's
often
sediments
a
diagnostic
feature
for
finding
these
guys
is
looking
for
electrical
conductivity.
Sometimes
it
comes
from
the
pipe.
Sometimes
it's
just
the
lake
sediments.
A
A
They're,
like
oh,
what's
going
on
here,
just
come
here:
you've
got
a
big
conductor,
so
you
think
there
should
be
something
really
you're,
really
pretty
positive.
You're,
expecting
a
big
demand
to
see
one
done
here.
I
remember
the
SOG
meeting
at
which
the
arrowtown
one
day
that
were
presented
and
people
were
just
simply
scratching
their
heads
and
said
I.
Don't
think
that
could
be,
it's
gotta
be
an
instrument
problem
and
then
some
people
in
order
to
interpret
it,
go
to
believe
what
you
do.
It's
so
something
some
people
said
nothing
wrong.
A
Gonna
upgrade
system
and
we're
gonna
go
back,
it
went
back
to
a
fluid
and
those
negatives
came
out
even
stronger
have
had
far
less
noise
Mona,
so
that
seemed
to
say
like
oh,
this
is
repeatable
and
high-quality
camp
came
along
the
next
year
did
exactly
the
same.
So
unquestionably,
these
are
really.
You
know,
early
time,
negative
values
that
were.
A
A
Yeah,
so
how
does
all
this
work
is?
There's
a
little
movie.
This
is
Dave
watch
ads.
What
we're
going
to
do
is
we're
going
to
look
at
this
situation
here,
where
we've
got
a
conductive
chargeable
block,
so
it's
buried.
So
there's
I,
don't
know
meter
half
space
here
and
we
got
a
block
here
that
we're
going
to
take
a
look
at
you're,
going
to
have
a
transmitter
loop,
that's
sitting
up
here
and
then
we're
going
to
measure
the
attracting
sounding
which
is
going
to
look
like
Destin.
So
it's
going
to
be
positive,
negative.
E
A
What
I
want
to
show
you
on
here
is
the
nature
of
the
currents.
We're
going
to
see
two
types
of
currents
are
going
to
see
the
induction
currents
from
the
induction
that
those
are
the
guys
that
are
going
to
charge
things
off
right
and
then
we're
going
to
see
those
polar.
So
then
they're
going
to
look
through.
But
then
the
object
is
still
charged
and
now
we're
going
to
see
the
discharging
currents
for
those
for
the
party.
A
D
A
A
Would
see
these
pull
right
so
now
we're
we're.
Looking
at
the
current
in
this
block.
Okay
and
now
we
can
see
that
there's
a
polarization
currents
so
they're
they're
kind
of
going
around,
but
they're
going
in
the
opposite
direction
and
it's
being
it's
backward
they're,
going
the
opposite
direction.
That
means
that
you've
got
this
negative
negative
response.
So
the
positive
response
comes
from
currents
basically
going
one
way,
and
then
you
get
its
negative
thoughts
that
cause
Ben
Curtis.
A
I
A
So
that's
that's
the
physics
of
what's
going
in
there.
So
now
they
not
at
least
the
thought
process
like
okay,
I
kind
of
get
it.
It's
not
all
that
complicated.
It's
just
yeah
I
have
poverty.
It's
good,
January,
yeah
time
varying
electric
peels
everywhere.
That's
going
to
cause
charges
to
be
built
up
where
those
charges
are
going
to
be
kind
of
depends
upon,
strengthen.
A
We
were
extremely
banana.
Can
looking
at
every
possible
assumption
that
we
could
make
in
this
in
front.
Can
you
still
have
an
international
and
trying
to
evaluate
on
what
condition
these
things
work,
so
it
really
carries
through
interrogate,
but
one
of
the
really
nice
pictures
on
here
is
that
you
know
it
shows
in
cases
where
you've
got
a
system,
you
know
how
they,
you
know
the
polarization
currents
they
are
just
equal
or
the
opposite
in
direction
to
the
partner
currency.
A
In
this
block
example,
it
shows
you
can
see
that
okay,
these
are
actually
vortex
currents,
so
you've
got
chargeable
your
turn,
charging
abilities,
current
student
or
relation
currents
or
actually
circular,
so
in
a
galvanic
system.
Okay,
this
is
important
tactics
a
little
bit
of
time
to
wrap
your
dare
at
it.
The
in
that
system,
where
you're,
not
the
CC
utility
and
currents,
are
going
through
the
block.
Then
your
currents
are
kind
of
going
into
them
out
of
the
little
block
or
these
directional
polarization
term,
but
again
a
dr.
system.
I'm
induced
this.
A
A
Bus,
okay,
so
we've
kind
of
laid
the
groundwork
now.
What
we
want
to
do
here
is
to
first
of
all
find
we
need
to
find
a
conductivity
structure,
and
yet
this
presented
some
problems,
because
if
there's
the
ECAM
dataset
and
remember
at
early
times,
if
I'm
up
in
this
region
in
here,
everything
is
negative,
so
are
like
okay.
So
here's
our
good
idea
right.
If
you
really
find
a
that
inverts.
A
Yeah
and
get
commentators
back
good
to
go
except
there's
no
real
time
data
here,
it's
positive,
so,
okay
back,
but
we
did
have
discount
data,
and
so
we
actually
used
a
combination
in
a
kind
of
cooperative
inversion
which
of
all
of
the
soundings
here.
That
seemed
to
have
substantial
pause,
the
values
in
the
early
times-
and
we
took
these
guys
here-
I.
A
Together
and
we
walked
inverted
to
get
a
3d
conductivity
model,
the
actually
books
left
is
so
on
planned
view
of
300
rather
than
meters
elevation.
It
looks
like
that.
So
it's
a
very
attractive
body
here
and
a
lesser
conductive
body
here
and
if
we
do
a
cross-section
we
picked
something
that
looks
like
this,
so
the
conductor
kind
of
comes
up
to
the
top
interesting
enough.
This
conductor
here
stays
stays
buried.
D
A
Take
a
very
early
time,
130
microseconds,
so
here's
our
observations
and
then
we're
going
to
take
our
estimated
conductivity
that
I
just
showed
you
do
a
3d
forward,
Maxwell
on
it
get
those
responses.
That's
the
fundamental
response.
We're
gonna
subtract
this
from
that,
and
that's
going
to
give
us
our
IP
our
response.
A
D
A
A
Seven
hundred
microseconds
this
one's
this
one's
really
I
think
impactful.
It's
a
spot.
I
can
buy
per
seconds.
Here's
our
observations.
So
now
we
see
I
wait
a
minute.
There's
something
looks
like
there's
something
charge
mode
you,
but
we
already
had
kind
of
have
guy
back
here
or
something
happening
here.
A
tree.
A
I
A
A
H
A
A
A
A
The
rocks
over
here
a
1,
a
2
and
3
all
that
small
time
constants,
but
you
know
they
there's
something
in
here
that
we
could
push
things
a
little
bit
farther.
They
almost
seem
like
they're
grouping
a
little
bit
or
I,
wouldn't
want
to
go
too
far
in
that
speculation.
But
you
know
just
just
by
looking
at
this.
There
do
seem
to
be
something,
but
what
we're
we're
starting
to
see
here
is
that
individual
rocks
locations
might
be
having
different
kind
of
call
co-founders
and
acted
like.
D
A
L
A
L
A
A
A
I
believe
the
first
part
of
that
they're
coming
from
firm,
deeper,
the
cores
that
we
have
they're
going
through.
He
go
from
seven
they're
70
variability
spoke
from
top
to
bottom
I
lost
it.
You
know
inside
so
there's
lots
of
Clarys
in
back
and
they're
cutting
distribution
changes
from
in
front
of
top
water.
So
what
I
see
is
that
there's
this
pipe?
Okay,
you
find
kind
of
a
characteristic
shape
of
water,
some
sediments
and
then
there's
kind
of
a
conductive
unit,
which
is
this
higher
plastic
unit,
is
both
conductors
claims.
A
Doctor
and
they're
also
chargeable,
that's
a
following
as
far
as
we
can
push
it.
These
guys
here
all
come
from.
You
know
a
few
cells
that
are
thought
to
be
representative
yeah,
what's
actually
causing
how
those
things
are,
why
those
things
have
really
large
time.
Constant
I
mean
you're,
pyrophosphate,
they're,
bigger
particles
and
then
the
plenty
of
ex-queen.
So
it's
not
unexpected
that
they
have
a
different
time,
constant.
E
H
E
I
A
Measuring
the
can't
yes,
so
Agassi,
look
at
the
strength
of
the
of
the
polarization
field,
they're
just
going
down
with
this
question,
how
quickly
they
go
down
and
there's
this
question.
So
what
you're,
looking
at
for
an
applet
ood
is
determined
by
this
scale
here
so
on
this
day
of
these
a1
rocks
are
actually
have
more
charge
ability,
but
they
also
decay
faster.
These
guys,
you
know
still
not
very
significant
charge
ability,
but
they
decay
more
slow
but
well.
K
A
K
K
A
A
A
K
A
A
L
A
A
A
Actually,
the
more
complicated
thing
is
ice
ice
as
a
very
fast
dielectric
constant.
These
kind
of
thing
ice
is
kind
of
falling
someplace
in
this
region
here
or
maybe
ten
to
the
minus
five
ten
ten
per
second.
So
it's
going
to
be
a
challenge
on
an
airline
system
to
get
things
that
are
very
fast
constants
and
there
are
any
long
time
constants
and
those
fast
shorten
long
are
in
connection
with
how
early
you
could
snap
it
in
time
and
how
long
your
initial
pulse
is
on
before
you're
switching
it.
A
D
A
With
this
is
to
put
this
together
with
density
susceptibility
and
actually
generate
a
rock
model,
there's
different
Rock
units,
no
saying
yesterday
that
you
know
each
of
these
guys.
You
know
about
particular
combinations
of
the
various
physical
properties
density
and
susceptibility
conductivity,
and
then.
E
A
I
said
we
inverted
the
early
time
trying
to
build.
You
mom
me
see
it
gives
us
a
3d
model.
That's
was
a
3d,
so
getting
happening
above
us
and
then
the
same
ones
over
here.
Have
you
know
the
late
time
so
I've
actually
got
five
volumes
from
which
to
work
with
for
easy
goals,
volumes,
I,
think
a
pixel
and
look
at
all
the
physical
properties
and
then
I
decide.
Oh
you've
got
this
combination
of
things.
D
A
K
A
It's
your
first
pass
reasonably
so
here's
our
ten
physical
Rock
units
and
then
so.
This
is
from
okay
physics
and
then
this
is
a
model
from
drawing
all
the
dots
are
drill
holes
and
you
can
see
the
couldn't
see
the
correspondence
between
so
being
green
here
that
you
see
here,
it's
not
what's
known
as
the
pink
ad
hocs
together,
and
that
is
the
guy
that
starting
difference.
So
it
is
north.
A
A
Our
first
was
to
invert
to
recover
the
background
conductivity
in
a
grounding
system.
We
ended
up
with
something
like
this
in
an
inductive
system.
We
ended
up
for
something
that
looks
like
this
matter
so
either
way.
If
we
can
get
a
background
continuity,
then
we're
going
to
compute
the
IP
response.
So
we
take
these
conductivity
x'.
Do
a
forward.
A
D
A
In
one
way
or
another,
that's
kind
of
got
all
of
the
stuff
sort
of
that
you
see,
except
what
it
does
is
actually
feels
and
sup.
So
we
start
off
with
dancing,
see
that
yeah
rabbit,
reading
actually
and
start
off
with
density
Hubert
that
intriguing
and
yeah.
What
can
you
see
so
you
basically
get
a
background.
B
A
B
A
A
E
C
D
A
A
B
L
L
A
E
A
A
fantastic
expectations
and
here's
a
result
didn't
prove
them,
so
that
went
down
rapidly
and
it
was
just
the
biggest
needed
to
tick
off
the
whole
box
of
the
whole
time
in
market
in
the
Vancouver
Stock
Exchange
on
selamat.
None
of
those
had,
if
that's
an
interesting,
pendant
military.
It
was
important
for
many
reasons,
but
honestly,
if
they
have
done
even
some
of
the
the
Senate
version,
just
the
gravity
and
the
maybe
they
hadn't
you
lucky
followed,
really
quick
wrong.
Just
are
they
were
initially
thinking
it
was.
It
remains
he's.
A
A
Yeah,
it's
just
another
case
of
the
overzealous
over
selling
not
doing
due
diligence,
but
really
if
they
had
inverted
just
a
couple
of
Athena,
they
would
have
even
spotted
their
initial
drillable
something
differently.
It
would
have
learned
a
lot.
Yeah
would
not
have
problem
so
I
said
we're
kind
of
interested
in
this
we're
good
practice,
but
we
wrote
three
papers
published
in
physics.
D
A
A
A
Nice,
that's
great,
so
anything
while
we
go
for
coffee
people,
if
you
have
a
thumb,
drive
or
something
like
that,
we
could
put
them
onto
our
computer,
so
they're
just
important
these
days.
The
other
thing
is
that
we
would
like
to
just
capture
both
your
presentation
and
your
slides,
so
evaporation,
neutralized
and
whatever
you
say
if
you,
if
you
are
uncomfortable
with
that
anyway,
just
let.
A
A
A
L
M
Effective
having
engraved
in
the
rain
out
there
this,
when
you're
recording
all
the
time,
we
also
get
offline
information
and
yeah
we
integrate
into
channels.
We
can
do
it
we
sort
of
like,
but
we're
not
super
fast,
stamping,
we're
point
for
the
millisecond
generally
or
twenty
four
hundred
Hertz.
So
we
don't
get
the
really
really
fast
sample
that
you
get
on
the
airborne
systems.
I
mean
I,
get
to
interesting
data,
what
it
means.
M
That's
probably
a
question
for
Doug:
it's
quite
confused
like
it's
quite
interesting
and
confusing
and
hard
to
understand,
like
it's,
not
something
I
understand
properly
myself,
but
this
is
our
first
channel
up
to
switch
off.
So
we
get
a
fair
bit
of
information.
You
got
some
cross-cutting
features
in
here
where
the
elements
are
still
here
and
it.
Basically,
we
can
sort
of
see
it.
Progress
through
different
things
become
evident
in
the
data,
but
so
it's
pretty
interesting
that
this
was
collected
fast.
M
We,
the
magnetometer
and
when
I,
would
glean
a
lot
of
information
about
the
structures
in
this
survey.
Now
this
is
not
inverted
or
anything
at
this
point.
What
this
is
just
a
imbued
like.
We
know
this
conductors,
but
we
don't
know
the
bits
we
don't
have
from
the
NMR.
We
don't
even
know
it's
how
many
meters
or
anything
it
is
it's.
The
sound
itself
is
a
relative
measurement
if
you
like
yeah,
so
that
goes
through
so
see
you
all
know
trying
to
figure
out.
What's
going
on.
M
M
So
there
is
a
push
to
be
converting
this
more
because
getting
more
out
of
data
is
becoming
more
and
more
important
and,
as
you
change
as
we
get
smarter
and
he's
either
been
away,
he
says
water
can
be
done,
so
we
are
trying
to
do
joining
versions
between
our
MMR
and
OEM
to
create
a
better
picture
with
our
data
to
help
you
know
our
clients,
so
there's
something
we're
always
working
on
trying
to
improve
that
system.
We've
been
reaching
out
because
we
we
mainly
collect
the
data.
M
We
process
the
data,
but
we're
not
interpreting
the
data.
A
lot
of
our
work
comes
through
consultants
and
they
tend
to
take
on
that
sort
of
off,
but
I
think
this
is
where
a
lot
of
the
exciting
stuff
is
and
where
the
future
is
and
being
able
to.
You
know
use
our
on
time,
they're
now
off
time,
data
to
put
it
together
to
create
mathis
abilities
to
get
a
lot
more
information,
but
that's
just
a
brief
overview
of
some
air
Sam
and
somewhere
Donna.
So
it
gets
a
little
ahead.
H
M
Thought
about
doing
it
both
ways
like
you
know,
do
you
sort
of
split
the
line
direction
and
try
to
you
know
essentially
have
a
switching
of
your
transmitter
electrodes
or
to
essentially
try
to
highlight
both
directions
at
the
same
time,
they
don't
want
to
be
walking
on
strikes,
I!
Think
what
do
you
do?
Is
you
compromise
in
there?
But
so
at
the
moment,
if
you
were
to
do
it,
so
you
know
I,
guess
properly
you'd
end
up
him
to
do.
M
M
Yeah,
maybe
it's
a
key
play
formally
different
duty
cycles
or
something
to
highlight
the
different
directions
but
yeah
we're
all
at
that
event.
This
is
I,
guess
it's
has.
It
happened
as
of
yet
so
no
that
would
be
really
nice
to
get
the
full
picture.
Cooper's.
You
know
there's
plenty
going
on
in
the
other
direction.
You
just
it's
lost
small
scene.
So
if
you
know
nothing
in
that
area,
it
can
be
rough
because
you
need
to
send
that
one
like
so
John
Newman
yeah,
it's
like
we
see
you
know
absolutely.
K
B
K
A
E
G
All
right,
yeah,
one
of
the
trade
digs
up,
got
us
putting
together
these
AG
tent
system,
which
is
just
totally
premium
Franti
and
electro.
Make
varies
just
trying
to
get
a
cart
that
really
works
effectively
for
Thai
champion
electromagnetics.
G
They've
got
a
big
loop
on
the
back
II
for
the
transmitter
in
the
midpoint
of
the
cart.
There
is
a
receiver
loop,
which
is
got
a
bucking
arrangement
on
it,
so
that
we
can
knock
the
amplifiers
off
of
it
and
that
this
part
of
the
trades
meaning
lips
barely
reach
it,
and
it
doesn't
move
much.
So
we
can
try
to
keep
that
bucking
fairly
stable.
But
it's
the
video
here.
What
flops
around.
K
L
G
Or
something
and
and
that
the
the
boobs
they
can
either
be
pulled
back
or
if
they
get
a
trace,
I
mean
they
can
just
brush
their
way
back
and
then
spring
forward
again
and
try.
G
This
is
meant
to
be
through,
though
you
know,
that's
actually
sitting
under
different
flight
from
this
and
trying
to
get
shallow
information
there,
a
stack
of
three
three
loops
on
the
core
of
the
xever,
so
the
center
ones
now
coupled
with
opposing
quote
opposing
direction.
Transmittal
oops
note:
the
bottom
line
has
a
lot
more
coupling
with
the
ground
than
the
top
loop.
So
just
a
means
of
trying
to
get
shallow
divert
out
of
out
of
it.
G
Comes
out,
I,
first
pile
it
up,
it's
just
as
3d
data
or
a
long
course
across
grand
it
take
piles
of
opportunity.
So,
whichever
way
the
paddocks
are
out,
that's
the
way
that
striking
the
survey
ends
up
being
this
one
for
groundwater,
as
a
plan
view,
do
the
inversion,
shallow
dynamite
showed
some
meandering
channels
deeper.
G
A
J
G
One
day
survey
when
the
heart:
actually
this
is
sort
of
scenarios
and
observing
resistible
movie
makeovers
having
the
confined
basement
just
like
the
one
we
just
did
they're
the
best.
The
easiest
asleep
I'll
leave
him
on
this
side
associated
with
the
current
river
channel
and
conductive
base.
With
my
going
subsisting,
ramen.
M
G
G
E
D
D
G
I'll
get
a
few
few
leads
job,
please
mister
poem
conducted
for
pollutants.
The
government's
always
got
pretty
speaked
domains
on
how
much
gluten
can
fight
from
something-
and
it's
often
very
small,
compared
to
the
natural
sources.
So
again,
the
detail
was
really
important,
because
invariably
you
get
salient
faults
and
things
that
are
under
a
sight
and
if
you
don't
have
them
well
maxed
and
they
look
like
escape.
That
could
not
be
pleased.
G
I
mean
the
actual
fact
they
herbs
and,
of
course
those
things
are
not
only
confidential,
say
you
don't
get
then
another
thing
that
happens.
Often
fine
structure,
ice,
constructor
effects,
groundwater
aquifer
positions,
you
get
something
he
like
you've
got
linear
features
here
that
so
all
the
do
vice
with
rock
poor
thing
high
up
in
shark.
G
Sometimes
you
get
to
do
just
positioning
rocks
and
things
around
quarry's
very
quotes
line
spacing
and
the
Hard
Rock
starts
to
show
up
quite
effectively
another
one
lime
stone
quarry,
there's
the
choreography
they
wanted
to
know
in
advance.
That's
conventional
electrical
resistivity
top
tomography
on
this
side,
besides
I
active.
So
that's
two
arrows
acquisition
this
with
Savannah
a
date.
A
G
G
And
the
ones
now
and
like
so
they
it's
where
you
got
the
conductors
on
top
of
the
resistors
when
you're
looking
for
the
resistors
so
but
that
effort
is
quite
common
commonly
to
this
one
area
that
conductive
soil
on
top
of
resistive
aquifer
zone,
resistive,
rock
and
Whiteside
drill.
He
probably
the
best
prospect
challenges.
G
M
G
For
the
transport
and
need
to
be
very
capable
of
handling
the
trying
to
end
up
needing
to
travel
through
and
I
really
applaud
together
to
doing
three
of
these
studies
where
we
might
have,
this
is
the
transmitter
it
can
have
couple
high
beams
on.
It
can
have
three
free
components
to
a
couple
of
with
static
receivers
sitting
on
the
ground
stacking
all
the
time,
move
it
through
the
system
and
then
just
gradually
lead
fog
to
sleep.
The
receivers
across
to
get
a
all
3d
data
set
with
coupling
from
all
different
angles.
D
H
I
G
I
G
M
G
I
G
I
D
B
D
G
Can
on
the
other
there
I've
got
the
drawbar
a
at
that
far,
because
I
can't
detect
the
effect
of
a
vehicle
on
the
back
week,
I'm
a
on
the
on
this
meter
playing
really
fit
their
distance
from
either
one
one
minute
closer
I
can
start
to
the
ticket
and
we
have
a
two
meters
high.
So
I
can
strongly
you
take
it.
You
can
broad
could.
G
H
G
G
I
M
E
G
J
C
C
For
anyone
not
familiar
with
the
area
this.
This
is
actually
where
my
project
step
since
I'm
down
off
the
southern
extent
of
the
Mount,
Ida
and
wire.
These
green
and
pink
colors
are
overlying
cover
basins.
So
this
is
the
Mesozoic
era.
Magna
Basin
and
you've
got
the
neoproterozoic
to
order
Vichy
and
Georgina
basin.
C
So
it's
actually
quite
a
complex
area
geologically
if
you
trace
the
man
I
thought
which
comes
down
through
here,
which
obviously
is
associated
the
mineralization,
there's
possible
extensions
of
that
so
geology,
so
it's
complex,
but
actually
reasonably
interesting
in
terms
of
prospectivity,
so
we've
got
approached
in
the
area.
So
this
is
our
MT
data
set.
This
is
having
half
of
the
MT
opposite.
C
So
broadly,
this
is
a
bit
more
detail
of
the
geology
of
the
area
era
mega
base.
Didn't
units
are
in
sync
and
Georgina
based
and
Hulu
there's,
actually
a
significant
neurological
difference
between
these
two
basins.
Their
major
basins
for
Ursula's
plastic
drops
where
it's
the
Gorge
area
basins
limestone
is
in
the
area,
so
there
should
be
electrical
contrast
between
those
two
basins
and
then
obviously
there
should
also
be
contrasted
nicely.
So
what
we've
done
is
there's
a
number
of
studies
that
we've
kind
of
embarked
upon
out
of
this
data.
C
That
end
goal
is
a
full
3d
geological
model
of
project
area.
But
in
order
to
accomplish
that,
where
we've
broken
it
up
into
parts,
so
we've
done
kind
of
are
adept
a
basement
study
or
a
baseline
study
from
the
MT
data.
So
that
would
be
all
the
AMT
leather
and
showing
parts
the
broadband
data,
and
then
we've
done
some
more
regional
tectonics
scale
models,
try
and
constrain.
That's
going
on
deep
and
we're
just
working
on.
What's
going
on
in
the
middle,
which
is
the
interesting
part.
C
Unfortunately,
there's
really
poor
geological
constraint
in
the
area,
so
this
is
all
of
the
drilling
that
hits
basement
are.
These
are
Merrill's
holes
in
the
circles
and
then
we've
got
petroleum
wells
that
are
named.
This
is
a
deep
crust
of
seismic
transect
down
here
and
through
here
and
then
can't
really
see
it,
but
there's
a
company
seismic
data
set
to
in
this
area,
which
unfortunately,
doesn't
actually
hit
any
of
that
data.
So
it's
not
as
great
used
to
us
and
then
the
contours
on
this
map.
H
C
Testing
death
debasement
studies,
so
this
is
a
essentially
a
magnetic
depth
basement
study.
These
come
to
us
other
actual
depths.
The
coloration
on
here
is
confidence
where
black
is
confident
and
anything
else's
doubtful.
So
you
can
see
there's
quite
a
lot
of
issues
with
some
of
these
depth
of
things,
but
studies
that
already
exist
in.
D
C
Essentially,
the
way
it
is
these
are
dung
is
the
black
hole.
The
black
locations
will
be
where
this
drilling
constraint,
the
drilling
constrain,
is
assumed
to
be
absolute,
whether
it
is
one
up
it's
up
to
us
to
debate
at
a
later
stage,
so
most
of
you
can
actually
see
the
data
points
have
been
used
to
calculate
this
depth.
The
basement-
and
these
are
all
magnetic
magnetic
depth
the
source
solutions.
So
it's
like
an.
G
C
C
That's
a
little
bit
of
background
I
mister
that
really
quickly
I,
don't
know
if
anyone
actually
cares.
If
you've
got
questions
about
the
project
they're
two
years
off
about
it,
so
these
are
some
reasonably
typical,
routine
versions.
This
is
the
shallot
information,
so
I'll
show
you
three
inversions
from
down
here,
and
three
inventions
from
this
should
be
quite
shallow
basement
sequences
that
they
were
at
about
600
the
basin's.
C
C
So
essentially,
what
we're
seeing
is:
there's
air
ammonia,
Basin
sediments
on
top
the
Eromanga
Basin
sediments,
the
solicit
plastic
they're
also
Monster
dominated
here.
So
that's
actually
super
conductive
for
anyone
who's
familiar
with
the
area.
These
are
equivalent
sequences
to
Bulldog
shyam,
which
is
in
Easton
succession,
Cup
appearances,
I'm
part
of
no
noise
off
so
they're
very
conductive,
and
they
come
out
really
well
in
inversion,
I'm,
they're,
very
tight
little
strength.
We've
done
a
number
of
sensitivity,
tests
that
aren't
really
burying
the
depth,
but
you
can
see
this
typically
just
a
really
thin
layer.
C
These
are
the
southern
inversions,
these
northern
ones
in
the
northern
inversions
you're,
not
seeing
any
aromatic
abasement
sequences.
What
you're
asking
is
this
very,
very
common
sort
of
structure?
So
this
is
all
Georgina
basin,
and
here
this
is
all
Georgina
basin
as
well.
So
there's
a
very
typical
two
layer,
Georgina
base
and
conductivity
signature,
and
initially
the
thought
that
we
had
was
that
this
is
the
limestone's
and
then,
as
we
go
towards
the
deeper
parts,
the
Georgina
base
in
the
area
and
also
as
plastic
rocks,
which
should
have
an
elevated
conductivity.
C
This
is
kind
of
a
a
good
story
and
it
works
right
up
until
you
look
at
the
geology
when,
when
you
actually
plot
up
the
one
drill
hole
in
the
area
that
goes
through
one
of
these
sections,
it
actually
goes
through
this
one
here
in
about
this
location.
This
whole
thickness
here
is
all
limestone's,
there's
a
little
bit
of
solicit
plastic
at
the
bottom
of
the
basements,
actually,
which
is
not
really
well.
You
do
interpret
it.
If
you
just
looked
at
these
sections,
he'd
go,
yes,
that's
so
it
doesn't
actually
make
sense.
C
E
C
C
That
patrol
of
explorers
care
a
lot
about
the
base
and
sequences
and
I,
probably
love
it
very
well,
and
they
all
do
downtown
resistivity.
So
it
gives
us
a
better
data,
set
to
try
and
understand.
What's
going
on
in
terms
with
geology
in
the
air,
so
I'll
show
you
some
results
from
this
one,
but
I've
also
done
synthetic
modeling
with
being
tree
well
and
the
Bradley
one.
Well.
C
This
is
the
kind
of
modeling
I've
done,
but
what
we're
trying
to
do
is
this
is
the
log
geology,
and
this
is
the
measured
resistivity
and
then
from
this
I've
made.
A
synthetic
model
essentially,
which
is
all
I've
done,
is
directly
averaged
this
down-home
resistivity
data
to
generate
this
model.
So
it's
not
I'm,
not
really
not
really
interpreting
it,
I'm,
just
bringing
it
up
into
sections
of
consistent
resistivity
packages
and
then
averaging
of
that
clock.
C
So
that's
why
there's
more
books
and
there
are
geological
units
and
then
once
I've
got
that
synthetic
model
I
generate
some
deck
data
and
then
I
invert.
My
synthetic
data
with
any
technique
that
I
think
might
show
me
what's
going
on
with
the
expectation
that
these
inversions
should
resume
this
model,
which
obviously
they
do
to
some
degree.
I
thought
1d
modeling
would
be
really
good
too,
because
it's
a
one-day
data
set
right
so
and
it's
where
it
got
a
different
dimensionalities
one
dimensional
data,
one
dimensional
inversion.
That
would
be
a
riot.
C
The
problem
is
so
this.
This
dotted
line
is
the
input
model.
These
gray
lines
are
different
versions,
each
one
run
to
1
RMS.
So
we
could
hope
for
in
an
inversion.
The
blue
line
is
the
maximum
number
of
layers.
I
used
the
green
layer.
The
green
model
is
the
minimum
number
of
layers
I
used
to
fit
the
data,
and
the
grave
is
everything
in
between.
So
essentially,
if
you
had
1
dimensional
data
and
then
you
rather
this
set
of
inversions
without.
C
You
have
no
hope
of
interpreting
geology,
which
is
disappointing
and
kind
of
concerning,
so
we
took
it
to
two
dimensional
inversion
and
thankfully,
to
get
a
bit
better
result
from
this.
What
I've
done
is
I've
done,
one
inversion
with
a
MT
frequency
band
and
one
to
the
inversion,
broadband
frequency,
so
you
drop
out
at
the
very
highest
frequencies
and
then
see
if
you
can
still
reproduce
features
from
the
basis
and
pleasingly
these
inversions
are
very
similar
to
what
we
get
out
about
real
data.
So
you
can
see
why
this
is
an
arrow
magnet.
C
You
can
see
resistant
conductive
package
on
top
and
then
a
resistive
layer
and
a
conductive
layer
then
basement
down
here.
So
this
gives
us
some
indication
of
these.
Inversions
are
working,
but
it
still
doesn't
match
your
input
model,
and
so
trying
to
understand
what's
going
on
here
is
something
I've
been
looking
at
and
I
mean-
and
this
is
just
done
with
3d
coat
because
into
a
bit
of
3d
inversion
code.
So
you
can
get
a
better
result
from
that.
The
answers
hello
does
those
well
to
decode.
C
The
the
problem
in
terms
of
interpreting
basement
is
that
this
is
a
really
huge
conductivity
change.
Here
you
go
from
sixty
five
hundred
meters
to
twenty
nine
thousand
meters.
If
you
believe
the
logs
like
this
is
a
huge
change,
you
would
expect
that
you'd
be
able
to
see
something.
But
maybe
you
see
nothing.
Part
of
this
is
a
colored
stretch
problem.
B
A
B
L
C
E
C
Have
so
it's
the
one
day
of
them
in
version.
N
N
A
C
F
F
I
C
I
C
C
A
hundred
heads
down
it's
more
two-dimensional
as
you
get
basement,
that's
actually
and
then
for
the
broader
data
set.
It's
predominantly
2d
and
3d
of
minor,
but
for
the
frequency
range
I'm
working
with
it's
1d
LGD,
and
so
that's
why
initially,
it
was
inverted
with
two-dimensional
code
for
the
real
data,
because
there's
two-dimensional
basement.
A
So
this
is
really
interesting
and
there's
nothing
to
talk
about
here
to
actually
go
for
quite
a
time
but
I.
Anything
I
can't
do
that,
but
you
know
the
one
thing
that
we
can
do
so
just
put
together
a
tutorial
or
one
thing
that
you
need
to
learn
problem
for
the
forward
modeling
and
inversion.
So
over
the
lunch
hour
we
could
traumatize
your
problem,
okay
and
put
that
into
the
into
the
tutorial
right
and
see.
Okay,
when
we
get
out
that
which
matter
that
you
should
say
that
would
be
good
watch,
our
yeah.
C
So
I
suspect
that
the
reason
that
none
of
these
inversions
actually
fit
very
well
is
because
all
the
empty
inversions
are
parameterised,
excluding
and
different
levels
of
smoothing.
You
can
turn
off
smoothing
between
layers,
but
then
you're
introducing
bias
to
the
model
and
I
don't
have
enough
information
here
to
introduce
that
bias,
not
in
a
way
that's
sensible.
C
C
So
I
I
suspect,
if
something
I've
been
thinking
about,
is
because,
if
I
had
a
1d
inversion,
that
could
say
I
want
five
blocks.
It'll
change,
where
the
boundaries
of
these
blocks
are
the
PMD
style
inversion,
which
is
a
geometrical
inversions,
a
property
inversion.
They
each
get
a
better
result
here,
but
yeah
anyway.
E
E
E
C
So
that's
kind
of
the
basin's
component-
and
this
is
the
work
I've
been
doing
for
the
full,
the
broader
scale,
structuring
versions.
So
essentially,
what
we
did
is
we
took
all
the
stations
for
project
parameters,
809
stations
and
trying
to
run
an
inversion
on
809
stations
in
3d.
13
is
a
suitable
task,
so
we
didn't
do
it.
C
We
subsampled
it
back
to
ten
kilometer
stations,
basically,
and
that
made
it
a
much
more
manageable
task
and
when
we're
looking
deep
structures,
that's
fine,
so
obviously
I've
only
include
EPS
Lysa's
from
13
commerce,
because
that's
where
that
the
resolution
of
the
data
mind
kicks
in
so
what
we
did
is
we
did
a
standard,
completely
unconstrained
model
with
the
data,
and
this
is
what
falls
out
at
the
end
of
it.
It's
a
pretty
interesting,
looking
thing:
if
you
overlay
geology
on
this,
you
can
start
to
make
interpretations,
but
it's
still
enough.
C
It's
very
liquidy,
so
we
want
to
potentially
under
the
thousands
infinite
models.
So
we're
like
well
there's
a
number
of
features
here
that
are
really
certainly
like
this
future
here
and
this
one
here,
because
this
boundary
is
where
the
dad
stops.
So
obviously
the
version
is
cramming
all
of
the
conductive
structure
where
the
data
isn't,
which
it's
not
ideal.
C
So
we've
restarted
this
unconstrained
inversion
with
just
brute-force.
Removing
these
conductive
features
to
see
if
they
actually
need
it,
it
could
just
be
artifacts
and
then
it
set
the
inversion
running
again.
This
feature
comes
back,
but
this
feature
doesn't
come
back,
so
these
these
aren't
real.
This
might
be,
and
so
you
hold
up
at
the
model
that
has
a
number
of
features
you
much
more
comfortable
with
things
of
us,
the
edge
effects,
but
this
is
still
an
unconstrained
model.
So
what
do
you
do
to
determine
if
this
is
your
best
model?
C
So
then
what
we
did
is
we
started
looking
at
varying
the
input
models,
just
try
and
explore
what
other
potential
models
are
out
there.
This
was
a
reasonably
unsuccessful
model.
What
we
did
is
we
essentially
broke
up
the
model
space
into
three
domains:
there's
a
geologically
defined
domains
based
on
both
blocks,
so
this
is
so
I
have
R.
C
D
B
C
H
C
Of
Sherman's,
almost
famous
the
longest
period,
is
twenty
three
thousand
five,
two
thousand
three
hundred
seconds,
so
it's
quite
long
period
and
then
just
probably
stop
people
thought
of
this.
The
final
one.
The
idea
does
again
turning
on
not
familiar
with
aunt
Ida
I.
Think
you
don't
this
one
quite
complete.
So,
instead
of
inverting,
the
impedance
data
can
also
invert
the
tipper
data,
and
so
what
we
did
was
the
benefit
of
inverting.
The
tip
attire.
Is
it's
a
simple
story?
It's
by
its
nature.
C
It
averages
things
into
larger
packages,
narrow
pointed
conductive
features
or
resistive
features,
so
what
we
did
is
instead
of
starting
with
the
impedance
data
and
then
running
an
inversion.
We
started
with
the
tippy-top
running
in
version.
These
I
mean
this.
This
inversion
is
not
dissimilar
to
this
immersion
and
that
close
of
these
sorts
of
orientation
structures
are
still
here.
C
It's
much
simpler
and
more
coherent,
so
start
with
tipper,
and
then
after
you
that's
run
to
completion,
you
introduce
your
impedance
data
and
see
if
it-
and
it
does
so
this.
This
is
our
preferred
model
at
the
moment
and
we're
working
with
that
one
incorporating
the
full
data
set
to
run
a
full
inversion
to
see
if
any
this
changes,
but.
E
C
In
school,
then,
the
others
is
to
look
at
how
they
fit
the
data,
because
it's
possible
that
you
have
the
same
I-rms
that
one
just
fits
one
component
of
the
impedance
tensor
and
it
just
is
all
four
on
something
else.
So
you
compare
each
component
of
the
impedance
tensile
for
each
model
with
the
RMS
at
each
period.
That
makes
sense.
I
looked
at
these
clocks
a
lot,
so
they
make
sense
to
me.
But
if
you've
got
questions,
just
stop
me,
but
essentially
for
all
the
models
will
protect.
We've
run.
C
C
H
J
C
A
J
C
J
D
A
Suggestion
is
that
maybe
trying
to
do
to
hopefully
short
presentations
and
and
then
we
can
go
for
a
launch
and
then
we'll
come
back
any
stem
up
because
we,
you
know,
we
have
some
tutorials
and
there
is
actually
a
lot
of
stuff
you
might
potentially.
So
let's
try
to
maximize
your
benefit
time.
That's
expended
so.
F
H
F
I'll
just
give
a
quick
view:
do
you
know
any
empty
pod,
because
we
work
for
resource
deviation
after
Joe's
answer,
Joe
sense,
Australia
manually
focus,
Thomas
Osmond
an
mg
rather
to
they
are
just
talking
about
the
energy
body
lets
his
MTV
technically
use.
Philosopher
dig.
Take
a
last
ten
years
we
collect
around
about
the
text
for
solvent
station
in
Australia
tall
totem.
Could
anyone
know
the
total
member
stage
the
Australia
we
have
empty?
F
F
This
project
is
nation
and
collaboration
project.
You
can
see
the
black
lines,
all
the
trans
second,
do
they
have
it
done
this
large
along
dust
these
the
longest?
The
survey
have
done
about
it.
1211
this
sorry
Simpson
just
talk
about
the
days
to
why
it's
a
larger
survey
in
Australia
update
that's
more
than
southern
station
in
one
single
zone.
F
Okay,
what
we're
doing
the
user
empty
help
to
doing
the
pre
drilling
program?
What
we?
What
we
did?
Sorry,
we
just
go
to
the
field
once
we
know
where
we're
going
to
turn
in
the
hole
they
put
the
whole
your
energy
collected
of
white
station.
We
use
this
Montague
color
chain.
This
approach
goes
jump
and
we're
doing
quick
one
day
immersion.
As
you
can
see,
this
will
in
New
South
Wales.
We
estimate
this
wise.
F
F
Different
than
you
motion
try
to
further
the
event
model.
It's
the
one
approach.
We
also
do
in
2d,
so
this
thing
South
Australia.
The
estimate
is
when
we
collect
the
few
few
station
across
the
children
start
never
do
intuitive
model.
What
we
found
out
is
this
one.
We
estimated
the
basement
is
372
400
meters.
You
can
clearly
see
this
one.
This
limestone.
F
We
know
this
sediment,
Ducati's
and
I
mean
no
this
one,
actually
the
trillion
just
the
finish
one
and
a
half
months
ago,
that
is
376
meters
in
depth,
so
we
still
hating
the
time
is
limited.
So
it's
quite
a
interest
in
this.
The
public
help
with
something
in
some
industry
can
use
this
technique.
Basically,.
I
F
H
F
This
we
can
see
some
boundary.
This
kind
of
spiritualism
I'll
show
you
empty.
Then
we
do
the
interpretation.
We
know
this
office
Basin
and
they
speak
for
major
for
New
Year,
this
major
electric
boundary
between
you,
you
go.
You
can
cry
too
at
the
mass
grave
province.
Now
you
see
quite
interesting.
The
energy
students
show
some
interesting
features.
F
F
A
three
thousand
sites
across
Australia
each
dose
is
100.
So
far
we
collected
about
an
ISO
800
sites.
There's
already
one
have
been
completed.
They
kind
of
completed
this
box
right
now.
Our
field
crew
is
collect
the
data
here.
What's
the
finish
for
this
station
by
next
week,
we've
completed
this
red
box.
F
F
F
Okay,
this.
What
we're
doing
now,
slam
I'll
just
show
you
quick
model.
We
from
the
quite
interesting
this
the
gold,
the
gold
opposes
all
the
state
above
the
conductive
Oh,
in
the
edge
of
its
kind
of
feature.
Give
you
another
retail
feature,
but
I
give
you
roughly
the
industry
when
you're
looking
for
the
meaning
of
results.
That's
I
want
to
go
so,
but
we
have
a
lot
of
issue.
We
see
some
success
mark
in
the
basement
and
the
list
of
attention,
but
that
intubation
is
harder
because
they.
F
H
F
Also
from
an
empty,
but
much
is
that
we
don't
have
the
release
so
fisk
and
a
tooth
extracted
information
quickly
like
a
from
a
target
process.
Modeling
of
that
anomalies,
we
needed
really
needed.
This
can
do
so.
We
can
move
from
the
quick.
The
next
problem
is
the
Parana
3d
motion
is
not
not
a
paper
about
doing
solve
the
large-scale
problem
because,
like
so
many
sites
how
we
can
model
them
together,
so
Karen
that
is
magnet
since
when
required.
Big
memory.
Second,
is
the
computational
Army's.
F
Some
recent
relating
the
code-
these
are
like
a
for
example.
Now
is
so
the
code
of
one
master
cpu,
who
the
all
good
information
together
then
each
others
of
you
be
used.
200-300,
CPU
other
CPU,
only
you
slick
with
the
memory
and
the
little
capillary
pretty
fast
about
once
the
forward
to
master
CPU
this
one.
That's
how
the
heavy
information
then
requires
a
lot
memory
and
the
calculation
is
very
slow,
so
we
think
about
it
is
possible
to
sleep
the
display,
the
different,
the
different
frequency
to
individual
CPU
that
bring
completely
cuts
individual.
H
H
F
D
F
N
D
N
Lightning
network
data
so
there's
a
variety
of
commercial
networks
that
are
detecting
where
and
when
lightning
is
occurring
globally.
24/7
and
they're
also
giving
us
the
current
in
the
lightning
strike.
So
from
that
here
we
can
see
a
bunch
of
lightning
strikes,
occurring
and
I've
drawn
a
propagation
path
between
the
one
lightning
strike.
N
Site
down
in
Downey
Heathkit
Victoria,
so
we
can
start
to
predict
things
using
this
information,
such
as
the
arrival
azimuth.
So
from
that
we
can
work
out
which
way
the
electric
and
magnetic
field
vectors
are
pointing
when
they
come
in
to
our
our
survey
site,
and
so,
as
this
comes
in,
it
interacts
with
the
geology
and
the
conductors
in
the
ground
and
the
fields
can
rotate
around,
and
so
using
this
lightning
data.
N
We
can
work
out
a
reference
to
see
how
much
the
earth
is
rotating
the
fields
now,
because
the
spheric
travels
at
the
speed
of
light,
and
we
know
these
two
points
on
the
curve.
We
can
work
out
an
arrival
time
and
we
can
precisely
extract
the
exact
portion
of
data
with
the
spheric
in
it
and
time
to
it's.
It's
lightning
parameters,
so
they've
been
a
few
areas
of
research
that
we've
looked
at,
increasing
signal-to-noise
ratios,
looking
for
Schumann
resonances
and
extracting
those
using
their
spatial
and
temporal
dependences.
N
We've
looked
at
observing
static
shift
directly
through
the
rotation
of
electric
fields
that
occurs
and
anomalous
magnetic
fields,
so
here
I'm
showing
some
magneto
to
our
time.
Series
data
at
the
top,
we
have
the
electric
field,
opponent
and
the
bottom.
We
have
the
magnetic
field
component
and
I've
shown
lightning
strike
times
along
the.
D
N
N
Now
we're
going
to
focus
in
specifically
on
a
couple
of
hysterics
on
the
left,
we're
looking
at
their
source.
It's
around
600
kilometers
away
from
our
survey
site
had
a
exceptionally
large
peak
current
of
100,000
amps
or
thereabouts,
and
we
can
see
that
has
a
huge
amount
of
signal
from
up
above
10
kilohertz
right
down
to
a
couple
of
hundred
Hertz
over
on
the
right,
we're
looking
at
a
strike.
N
That's
occurred
over
in
3,000
kilometers
away
from
a
survey
site
and
due
to
the
greater
propagation
distance,
the
amplitudes
have
decreased
quite
a
lot
due
to
attenuation
in
the
earth.
I,
obviously
away
of
God
there's
also
lack
of
signal
in
this
band
between
1.5
and
5
kilohertz,
which
is
called
the
dead
band,
and
that's
a
big
problem
for
what
your
frequency
magnitude
to
lurks.
N
B
N
N
Apparent
resistivity
and
phase
curves,
these
have
been
computed
from
continuous
data
segments,
there's
about
10
trials
over
2
minute
data
segments,
and
what
you
can
see
is
there's
this
trough
between
1.5
and
5
kilohertz,
which
is
due
to
that
dead
band.
Basically,
we
just
don't
have
we
have
very
poor
signal-to-noise.
G
N
So
what
I've
done
is
I've
looked
at
the
Lightning
Network
data
I've
picked
out
sources
that
are
close
to
our
survey
site
sources
with
high
peak
currents,
then
I've
stitched
each
spirit
together
into
a
time
series
put
it
into
the
bounded
influenced
remote
reference
processing
code,
the
same
as
I
had
done
for
the
continual
segments.
We
can
see
that
the
error
bars
have
decreased
quite
a
lot
and
also
that
the
truth
is
no
longer
there,
so
the
data
are
no
longer
biased.
Due
to
the
very
large
signal
amplitudes
that
we
have
two
years
now.
N
This
really
helps
with
the
imaging
of
the
subsurface,
because,
if
we
think
about
the
dead
band
in
terms
of
skin
depths
for
the
high
frequency
we
get
down
to
around
15
meters
for
the
for
the
lower
frequency
end
of
the
dead
band,
we're
looking
at
around
1.5
kilohertz
we're
getting
to
a
skin
depth
of
approximately
50
meters.
So
this
area
in
gray,
is
something
that
is
the
biased
and
hard
to
resolve
from
the
original
data
that
I
showed
of
the
conventional
processing
scheme,
which
is
shown
here
in
black,
the
highest
signal-to-noise
ratio.
N
A
N
N
N
Noise
level,
all
the
time,
so
that
gives
you
this
source
is
fake
power,
resistivity
that
just
sits
around
down
here
in
these
frequencies
and
up
here
at
those
that
has
no
relevance
to
the
ground
at
all.
So
when
you
put
in
very
high
signal
you
get
the
rubber
diffusion
in
the
ground,
you
can
see
it
through
the
high
signal,
so.
N
N
We
don't
really
know
about
them,
so
we
just
pretend
that
this
over
there
and
it's
all
sort
of
going
to
work
out
what
I
think
people
need
to
start
doing
is
so
more
data,
adaptive,
stuff
and
considering
source
information
and
pulling
out
the
way
you've
got
to
seek
help
and
working
with
that
only
and
moving
away
from
the
conventional
sort
of
reverb
and
brought
years.
The
whole
lot
that
you've
got
up
sciencing
question
exactly
like.
A
You
know
a
lot
of
people
feel
like
well
asset
dot.
Indeed,
there's
Gary
aprons
code,
there's
Alan
shape
those
are
the
two
most
common
coats
around
their
use,
but
a
lot
most
people
don't
really
understand
exactly
what
they're
doing
and
if,
if
that's
the
case,
then
it's
really
easy
to
get
some
numbers
out.
That
really
aren't
quite
that's
right.
What
you're?
Looking
for
and
also
you
don't
know
how
to
how
to
change
things.
Yeah.
A
D
A
N
N
Sort
of
just
noise
in
stationary
noise,
they're
always
sort
of
doing
the
same
thing
at
the
same
sort
of
frequency.
That's
why
there's
such
consistency
in
that
up
slide?
So
that's
just
the
way
I've
thought
of
it
and
what
you
really
get.
What
you
really
need
to
be
doing
is
looking
for
your
signals,
yeah.