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From YouTube: EOSC 350 Lecture 12: Seismic 4. Doug Oldenburg
Description
Seismic Reflection. October 7, 2016. Lectures slides are available at https://github.com/ubcgif/eosc350website/raw/master/assets/3_Seismology/Seismology.pdf
A
A
A
A
So
what
I'd
like
you
to
stay
after
spent
almost
all
the
time
on
a
whole
like
different
aspect,
we're
talking
about
seismic
reflection,
but
right
at
the
end,
the
last
times
we
got
just
to
fit
rush
and
I
just
want
to
kind
of
briefly
go
over
things.
You
can
take
a
look
in
the
gpg
and
get
get
a
better
idea
of
Facebook,
just
to
kind
of
recap
here
when
when
the
earth
is
sloping,
then
most
doing
it
at
a
refracted
ways.
A
A
And
then
we
introduced
what
was
called
a
reverse
shot.
So
basically,
in
this
look
in
here
we
take
so
here's
shot
one
and
then
here's
the
final
receiver,
oh
and
and
now
we
take
and
we
reverse
it,
and
then
we
put
a
shot
to
here
and
then
a
receiver
back
over
here.
So
you
can
see
that
the
waves
are
travelling,
exactly
the
same
path
and
therefore
must
take
exactly
the
same
time.
And
that
gives
us
a
time
point
here,
which
is
called
the
reciprocal
time.
And
that's
this
guy
up
here.
A
So
you
can
get
travel
time,
curves
that
go
for
the
downslope
travel
time.
Curves
you
go
for
the
upslope
and
then
you
can
get
the
velocity
of
the
top
layer.
Just
by
looking
at
these
slopes
here
they
will
be
the
same
because
they're
just
going
to
the
top
layer
and
then
you've
got
two
velocities
that
you've
got
here
and
unravel
the
information
in
those
by
looking
at
the
intercepts.
A
So
there's
an
intercept
time
here
and
then
there's
another
intersect
time
over
here,
so
there's
to
intercept
times
that
you
get
and
you've
got
two
velocities
and
you
just
kind
of
unravel
those
things
to
get
the
the
two
depths.
One
is
this
one
beneath
the
dislocation
and
what
is
the
depth
between
us?
So
that
allows
you
to
get
some
extra
information.
A
When
you
go
out
and
if
you're
working
for
boulder
or
something
like
that,
the
jump
trees
are
more
complicated
and
so
they'll
use
more
complicated
things
to
unravel
what
the
how
the
boundary
is
shaped,
but
they're
all
kind
of
based
on
exactly
the
same
principle.
So
you
might
hear
things
like
plus/minus
method
or
generalized
reciprocal
method,
or
something
like
that.
A
But
with
the
basics
that
you
now
have
you,
you
kind
of
got
more
or
less
what's
going
on
and
everything
else
is
just
in
sort
of
geeky,
kids,
so
on
next
wasting
when
I
try
to
finish
this
up,
I
just
talked
to
the
chief
chief
businesses
that
golder
associates
and
he's
been
going
around
the
province
doing
both
seismic
refraction
seismic
reflection
and
ma
SW
for
various
geotechnical
purposes,
LNG
up
in
up
in
the
north
and
/
trooper,
as
well
as
some
droves
in
British
Columbia.
So
I'll
show
you
some
examples
of
refraction
and
reflection.
A
Okay,
I
want
to
switch
gears.
I
want
to
now
due
reflection,
seismology
from
the
point
of
view
of
what
we
study
as
up
up
to
now.
Nothing
really
changes
we're
going
to
have
a
shot
and
we're
going
to
have
receivers,
but
when
we
did
refraction,
we
just
looked
at
first
arrivals.
That
was
the
only
thing
you
cared
about
everything
else
after
that
was
obscured,
but
now,
in
reflection,
we're
going
to
try
to
get
out
much
more
information,
and
this
is
why
this
is
still
powerful.
A
So
suppose
that
you
had
to
think
you
had
a
geology
that
looked
like
this
right.
We
got
maybe
some
sand
lenses
here,
we've
got.
You
know
some
undulating
bedrock,
some
loot
liya,
you
know
just
complicated.
Then
the
question
is:
how
could
you
possibly
get
a
picture
of
what
is
there?
What
we're
going
to
do
is
to
look
at
Wade
information,
seismic
information
that
goes
down
and
gets
reflected
back
up.
It
will
not
come
as
a
first
arrival.
A
It's
going
to
be
buried
in
the
code
of
some
place,
but
we're
actually
going
to
be
able
to
work
with
this
information
and
eventually
get
a
picture
that
you
just
look
at,
and
you
can
look
at
that
picture
and
you're
going
to
make
some
geological
inferences
right
from
the
picture
itself,
so
everything
is
going
to
be
involved
in
how
we
take
our
seismic
experiment.
Take
all
of
those
traces
process
them
give
them
around
and
make
a
picture
with
a
particular
kind
of
way.
That
goes
all
the
way
down
and
reflects
all
them
back
to
us.
A
So
here's
here's
an
example,
as
you
said,
a
fairly
large
scale,
so
this
is
5
kilometers.
So
this
is
no,
maybe
30
kilometers.
This
way
you've
got
lots
of.
This
is
sort
of
oceanographic.
These
are
slumps
that
are
coming
down
from
ocean
to
ocean
top
yours
or
something
you
can
see.
There's
lots
of
texture
in
here
there's
a
few
lines
that
have
been
put
in
so
somebody
has
drawn
somebody
thinks
they
know
it
geologically.
A
A
This
is
slightly
smaller
scale.
This
is
in
meters,
so
this
is
like
400
meters
from
one
side
together,
so
yeah
there
was
30
kilometers,
you
do
the
seismic
NH
and
you
get.
Something
else
looks
like
that.
So
you
get
just
follow
the
dark
lines
and
you
can
see
some
kind
of
continuity
in
here
so
something's
coming
up
here
and
maybe
there's
even
a
bit
of
a
break.
That's
coming
up
here
again
for
a
geologist
who
would
look
at
this
and
know
something
about
what
the
background
is.
A
You
know
he'd
recognize
like
okay,
maybe
that's
a
particular
interface.
It
actually
does
look
like
there's
a
fault.
That's
going
in
here,
like
they
kind
of
think
this
event
here
should
be
the
same
as
this
guy.
So
maybe
there's
some
kind
of
fault
and
you
can
see
there's
a
little
bit
of
a
break
a
little
bit
of
a
break
and
interpreted
those
as
smaller
faults.
A
So
that's
the
idea.
We
somehow
want
to
get
pictures
that
look
like
this
combine
them
with
what
we
think
we
know
about
geology,
that's
especially
even
better
if
we
happen
to
have
a
drill
hole
here.
So
now
you
have
one
drill
hole,
gives
you
some
ground.
Truth
says
this
right
here:
I
went
from
this
rock
to
this
rock.
That
coincides
with
that
reflection
event.
A
That's
true
here,
that's
probably
true
up
over
here.
So
that's
that's
kind
of
way
that
you
extend
your
information
away
from
some
kind
of
place
where
you've
got
ground
truth,
so
the
main
uses
for
expiration
the
biggest
one
is
actually
hydrocarbon
exploration.
So
by
far
the
most
of
them,
the
greatest
employment
of
TF
physicists
industry
is
through
the
oil
industry
and
the
main
technique.
There
is
reflection,
seismic,
but
there's
whole
earth
stuff.
A
The
the
basic
thing
here
this
is
what
most
of
this
lecture
is
going
to
be
on-
is
that
what
we
want
to
do
is
to
get
an
MH
of
reflection
events,
and
so,
let's
suppose
the
finalists
I'm
a
source
right
here.
If
I
had
a
picture,
ok
of
a
reflection
of
that
that
occurred
every
time
we
get
after
your
name
is
Riley,
so,
okay,
so
I
it
comes
down.
A
There's
acoustic,
impedance,
contrast,
read
it
Riley,
so
I
get
some
kind
of
a
reflection
event
that
comes
back
to
me
and
if
I
could
plot
that
up,
then
I
have
trace
and
it
would
have
a
little
bump
right
at
that
particular
time.
That
coincides
with
the
travel
time
for
a
wave
to
go
from
here
tonight.
Hey
now,
I
come
over
here
and
I've
got
a
slightly
different
situation,
but
my
ideal
size,
the
ground
that
I'm
looking
for,
is
something
that
comes
comes
down
here.
A
It's
Robin
in
this
case
and
reflects
back
to
me
and
then
maybe
goes
all
the
way
back
to
kinda
tak,
a
cup
of
tap
go
and
relax
back,
so
I
have
to
now
get
two
reflections
right.
So
what's
wrong
and
then
I
bought
that
up
and
the
idea
is
that
I
could
go
along
and
get
your
all
of
these
traces,
the
seismic
traces
like
this,
and
then
I
put
them
up
on
a
picture
and
I'd
have
now.
A
So
we're
going
to
work
with
that
first,
so
we
want
to
really
kind
of
get
the
idea
of
what
that
ideal
trade
says
and
then
we're
going
to
contend
with
the
fact
that
wait.
That's
not
really
what
we
get
in
practice,
because
I'm
going
to
have
waves
coming
from
all
over
the
place,
and
I
need
to
do
something
but
there's
sort
of
two
different
metals.
A
So
I'm
going
to
show
you
this
slide
first
and
then
we're
going
to
go
to
the
app
and
kind
of
describe
this
a
bit
more
in
detail.
So
here's
the
overview
just
as
I
was
describing
before
we've
got
an
earth
structure
that
might
look
like
this,
so
I've
got
different
layers
of
particular
acoustic,
impedance
row
and
and
B
and
I
want
to
be
thinking
about
waves
that
are
kind
of
going
straight
up
and
down
through
these
I'm,
not
going
to
worry
about
the
fact
that
they
might
be
scattering
off
at
some
angle,
C.
A
So
the
way
in
which
we're
going
to
think
about
that
is
just
to
kind
of
think
about
a
plane,
layered
earth
and
what
we
call
sort
of
normal
incidence.
So
here's
an
earth.
So
this
is
depth
and
yeah.
You
can
see
we
kind
of
try
to
hatch
all
these
things,
so
these
are
different
layers
that
are
occurring
in
here.
So
each
of
these
layers
has
got
its
own
density
and
velocity
and
we
can
take
that
product
and
that's
our
acoustic
piece.
A
A
We
had
that
the
reflection
coefficient
was
f2
minus
said
1
/,
zip,
2
plus
1,
so
if
something
was
coming
in
in
medium
1,
this
was
medium
too.
If
I
had
a
wave
with
unit
amplitude
coming
in
then
there'd
be
something
that
was
reflected
and
that
had
an
amplitude
that
was
given
by
this.
But
it's
so
every
time
we
have
a
change
in
the
acoustic
impedance.
A
We
actually
get
a
reflection
coefficient.
So
I
could
look
down
at
this
at
this
log
here
and
there's.
There's
no
change!
No
change!
No
change
suddenly
day
that
there's
a
change
in
the
acoustic
impedance
and
it
goes
down
so
z2
is
going
to
be
less
than
zed
one
because
going
from
a
high
impedance
to
a
bowl.
So
that
means
that
this
is
going
to
be
negative
and
then
I
go
to
plot
a
little
bar
there.
That
just
tells
me
you
know
what
the
size
of
that
reflection
coefficient
is.
A
A
When
we
measure
our
seismograms,
our
seismograms
are
always
you
know,
the
variable
is
always
time.
No,
so
nothing
comes
in
and
something
comes
in
something
else
you
know
this
is
time.
This
is
travel
time.
So
we've
got
to
convert
these
guys.
This
reflection
coefficient
log
into
something
that
instead
of
having
an
axis
of
depth
as
an
axis
of
time,
but
we
can
easily
do
that
because
we
know
what
the
velocity
is
in
each
of
these
in
each
of
these
will
go
in
the
first
book.
A
So
that
would
be
the
time
that
I'd
get
my
first
reflection,
except
that
when
we
deal
with
seismic
waves,
we're
talking
about
stuff
going
down
and
have
so
that
means
is
always
there's
an
extra
factor
too,
because
I
don't
get
sucked
down
there,
but
it
all
says
back-
and
so
this
time
here
that
you
you
see
is
usually
an
awful,
sometimes
they'll
say
that,
but
it's
usually
like
to
wait
travel
time.
It's
the
time
for
the
think.
You'll.
A
Actually
get
back
you
so
stop
okay,
but
the
basic
conversion
or
death
to
time
is
that
for
each
unit
up
here
where
we've
got
a
constant
velocity
and
it's
at
a
particular
death,
we
can
convert
to
time.
So
for
these
guys
here,
the
extra
time
is,
you
know
whatever,
whatever
that
velocity
was
so
we
can
take
whatever
the
velocity
was
44
here,
compute
that
to
a
time
increment,
and
that
determines
where
this
guy
is
as
a
function
of
time.
A
Well,
sorry,
let's
go
here.
Okay,
so
we've
got
now
this
weekend
to
call
and
we
try
to
be
consistent.
We
talk,
we
call
this
the
reflectivity
function,
so
this
is
now
something
that
depends
on
time
and
you
can
see
how
these
guys
there
they're
matched
up
in
terms
of
their
polarity
of
the
sign
but
they're
their
differences
here
and
when
they're
actually
occurring,
because
not
all
the
velocities
for
each
of
the
layers
is
same
and
so
time
gets
crunched
up.
A
Okay,
so
we've
got
geologic
log,
gusta,
campinas,
reflectivity
coefficients
these
are
in
depth,
reflectivity
function,
which
is
now
in
time.
So
this
would
be
the
ideal
seismogram
if
the
seismic
wavelet
that
was
going
down
was
like
a
pure
delta
function.
It
goes
if
it
was
a
pure
spike,
but
in
fact
it
isn't
the
seismic
wavelet
that
goes
down
that
leaves
leaves
the
instrument.
You
know
might
look
something
like
this,
so
it's
got
a
particular
time,
for
it's
got
a
particular
width
or
you
can
think
a
lot
of
having
a
particular
several
frequency.
A
If
every
time
we
see
the
arrival
here
of
some
impulse,
that
means
that
this
whole
wavelet
gets
put
on
here.
So
it
looks
like
so.
What
these
impulses
do
is
to
tell
you,
okay,
this
is
when
the
wavelet
arrives.
What's
the
way
we're
going
to
look
like
well,
it
looks
like
that.
Sometimes
the
way,
but
might
look
like
this-
can
have
all
kinds
of
kinds
of
shapes,
but
there's
two
things.
One
is
the
arrival
time
and
then
there's
the
shape.
A
The
proper
mathematical
terminology
for
this
is
that
this
final
seismogram
that
I
get
here,
sometimes
it's
called
it
trades,
it's
called
size.
Brown
is
really
the
convolution
of
this
reflectivity
function,
with
whatever
the
seismic
wave
lipids.
So
all
that
means
is
that
every
time
I
see
one
of
these
guys
I've
got
to
replace
it
by
that
particular
impulse.
A
A
A
So,
let's
just
start
from
you,
so
here's.
A
Aha,
thank
you.
You
can
tell
how
precariously
these
lectures
are
planned.
11,
small
misfit,
with
the
finger
in
your
post,
okay,
here's
what
you'll
see
on
the
app
we're
going
to
define
beans,
reflection,
coefficients
transmission
coefficients
and
the
thing
that
I
haven't
ever
talked
very
much
about,
but
is
important
and
perhaps
kind
of
intuitively
obvious.
So
we've
got
a
way
that
comes
down
Scott
you
and
amplitude,
then
part
of
it
gets
reflected
and
it
is
convenient
and
actually
important
to
recognize
that
which
way
the
reflection
has
happened
and
from
which
interfaces.
A
A
Wrote
down
this
reflection
coefficient,
it
is
said
to
minus
n
1
over
Z
2
plus
said
what
these
numbers
here
don't
have
anything
to
do
with
the
layer
number.
It
could
be
a
unit
30
or
something
like
that.
What
these
numbers
have
to
do
is
with
unit
1
is
the
unit
in
which
the
wave
is
coming
in
and
unit
2
is
the
unit
number
that
it's
going
into,
so
it's
reflecting
so
r
12
is
one
that's
reflecting
at
one
and
interface
between
unit
one
in
unit
2,
if
I
had
something
that
was
more
complicated.
A
A
A
Something
like
that,
if
you're
actually
trying
to
figure
out
what
the
amplitude
is
of
the
wave
coming
down,
so
we've
got
a
weight
coming
down,
but
now
it's
transmitted
so
there's
a
transmission
coefficient
between
the
goes
across
here.
So
it
loses
a
bit
of
altitude.
So
maybe
the
transmission
coefficient
only
like
49
and
then
so.
If
that
was
point
9
and
then
the
reflection
coefficient
here
was
point
5
and
then
there's
another
transmission
coefficient
here
of
maybe
point
9.
A
A
So
we
go
1,
u
2
g-3,
and
so,
if
d
2,
if
this
is
equal
to
50
meters
right
now,
d
3
is
a
hundred
meters.
So
this
is
another
50
meters
fit
here
and
then
I've
got
three
velocities
right
now.
These
are
all
essentially
the
same
host
of
1500
and
the
densities
are
all
the
same:
2300
children,
ER,
and
so
when
I
look
at
this.
This
is
the
density
as
a
function
of
depth
and
that's
pretty
constant
and
then
the
velocity
as
a
function
of
depth
is
essentially
constant.
A
A
So
now
what
happens
at
15
years,
the
velocity
increases
to
thirty
seven
hundred
meters
per
second
squared
or
per
second,
and
my
velocity
structure
looks
like
this.
The
product
of
the
density
and
velocity
looks
like
the
fist
of
my
reflection
coefficients.
Look
like
this.
So
I
kept
positive
and
a
negative
okay,
so
you
can
take
that
and
you
can
play
around
with
it.
A
A
Well,
I
decrease
the
density
as
much
as
I
could,
and
you
can
see
I've
made
that
reflection
coefficient
really
pretty
small.
If
we
altered
numbers
moving,
bigger
I
could
easily
still
find
combinations
of
role
and
be
that
give
me
the
same
number
so
I
can
even
have
velocity
is
changing,
but
still
not
necessarily
have
a
reflection
coefficient
generally.
That
doesn't
happen.
Usually
of
these
things
are
more
heavily
just,
but
the
what's
happening
with
velocity.
A
Something
that
looks
like
that
now
we
want
to
do
is
to
convert
this
system
here,
which
was
in
def
going
to
convert
that
to
time.
So
that
means
for
each
of
these
layers.
We've
got
to
know
what
the
velocity
is,
and
then
we
know
what
the
layer
thickness
is.
So
we
could
compute
what
the
travel
time
was
to
any
point
inside
the
earth.
A
So-
and
you
can
see
so-
here's
our
reflection
coefficients
in
depth-
here's
our
travel
time,
so
this
is
now
how
to
convert
to
a
travel
time
to
to
death.
So
every
particular
depth
we
can
actually
calculate
with
Tula
travel
time
is,
and
then
that
allows
us
to
convert
from
depth
to
time.
So
we
can
see
the
first
positive
reflection.
Coefficient
is
actually
going
to
be
about
point
O,
six
and
then
the
negative
reflection
coefficient
is
point
one.
A
Ok,
so
we're
almost
there.
The
last
part
is
then
to
take
that
and
we're
going
to
put
a
wave
lid
on
it.
So
in
this
case
here
the
wavelet
looks
like
this
and
like
a
Gaussian
wavelet
and
we've
got
a
couple
of
things
that
you
can
you
can
play
with.
One
is
the
frequency
of
the
wavelet,
the
dominant,
so
let's
suppose
I've
got
I've
got
a
wavelet
that
they
didn't
look
something
like
that.
A
Ok,
so
if
you
were
going
to
look
at
this
thing-
and
you
see
well
there's
no-
this
has
got
some
width
to
it
in
time.
So
it's
got
some
subtotal
time.
Duration.
A
So
1
over
time
is
going
to
be
frequency,
so
this
is
going
to
give
me
kind
of
like
a
a
dominant
frequency
of
this,
this
waiver.
So
if
this
wavelet
was
point
01
seconds
so
10
milliseconds,
then
that
would
say
someone
over
zero
point
of
one
is
about
a
hundred
first.
A
So
if
you
had
a
sinusoid
of
a
hundred
Hertz
right,
so
if
you
just
had
a
sinusoid
that
was
going
along
here-
and
it
was,
you
know,
it
was
a
hundred
Hertz.
That
means
you
get
a
hundred
cycles
per
second.
So
that
means
that
each
cycle
is
about
one
one-hundredth
of
a
second,
which
is
final
one.
Second,
okay,
so
that's
the
relationship
here,
frequency
kind
of
related
to
the
time
width
of
this
wavelet
and
then
that's
going
to
go
on
to
so
now.
Let
us.
A
A
A
A
So,
if
you
look
at
that
you're
gonna,
say
wow,
you
know
that's
not
going
to
help
me
that
much
especially
if
you
thought
about
something
that
was
like
had
a
lot
more
layers
and
a
lot
more
complicated
I
mean
you
know
he
just
gets
squiggles
all
over
the
place,
and
it's
going
to
be.
You
could
imagine
this
it's
going
to
be
hard
to
interpret,
but
there
was
one
thing-
and
this
is
you
know
sometimes
simple
things-
make
a
huge
difference.
At
four
years.
A
People
would
plot
these
seismic
records,
as
just
these
they
just
plot
these
things
is,
you
know,
here's
my
squiggle
trace
right
and
then
you
get
a
whole
bunch
of
them
right
and
he
get
squiggles
that
look
like
that
and
you're.
Looking
at
this
stuff
and
can't
make
any
sense,
somebody
came
along
in
a
frittata
Caillou's
to
notice
me.
It
was
in
the
early
50s
and
he
said
you
know
you
know
what
we
should
do.
That
would
really
help
a
lot
is
if
we
should
shade
the
top
hat
everything
that's
positive.
We
should
shave
lat.
A
So
now,
if
you
did
shave
good
flag
for
Shane,
it
is
black,
which
is
what
you're
seeing
here
and
the
thing
that
that
does
and
you've
already
seen
a
little
bit
of
that
is
it.
It
suddenly
now
draws
your
eye
and
you
can
see
patterns
in
these.
What
used
to
be
just
a
bunch
of
squiggles
to
this
day
it,
despite
the
fact
that
they
do
now
3d
data
acquisition
and
vibration,
a
huge
amounts
of
processing,
probably
the
greatest
batsman
in
understanding,
sighs,
great
wavelets
was
Hector,
sighs,
citizen
well,
I!
A
A
A
A
A
The
sean
is
here
and
you're
going
to
see
this
again
in
the
in
your
team
based
learning
in
your
case
history.
This
is
this
is
actually
a
really
interesting
example
about
the
different
kinds
of
ways:
p
waves
s
ways,
it's
an
example
where
you're
looking
for
the
water
table
you're
looking
for
stuff,
that's
at
the
base
of
the
table,
just
just
lots
of
interesting
that's
going
on,
but
here
is
a
shot
gather,
and
this
is
what
your
data
are
going
to.
A
Look
like,
cuz
everytime
you
acquire
data,
it's
always
going
to
be
like
okay,
I've
got
a
shot
and
here's
my
receivers
and
I'm
grinding
them
along
and
then
I'm
going
to
plot
each
of
these
traces
down.
It
looks
like
this,
so
this
is
time
and
I've
got
in
this
case
about
90
different
to
geophones
with
praises.
A
That's
your
information
now
what
we
were
doing
before
in
our
roof?
Well,
let's
just
hope.
First
of
all,
let's
just
look
at
this
thing
because
there's
a
lot
of
stuff,
that's
that
that's
going
on
here!
First
of
all,
there's
if
you're
sitting
out
here
your
first
of
all
notice
that
there's
direct
arrivals.
So
if
you're
sitting
up
here,
there's
a
straight
line,
it
comes
down
through
here.
So
that's
when
the
arrival
comes
first,
so
that
is
a
direct
arrival
and
that's
the
guy,
that's
very,
very
long!
Sarongs
and
you
see
its
other
line.
A
A
There's
information
there,
some
of
its
noise,
some
of
its
noise,
sometimes
and
signal
other
times
yeah
we've
got
first
of
all
this
there's
a
straight
line.
There's
an
event!
That's
coming
in
here.
You
can
see
this.
If
you
look
at
this
line
here
and
you
look
at
the
velocity
is
associative.
First
of
all,
is
this
velocity
going
to
be
higher
or
lower
than
either
those
velocities.
A
A
A
A
We're
actually
going
to
see
this
thing
you're
in
more
detail
when
we
come
to
do
the
ground-penetrating
radar,
because
then
there's
also
going
to
be
an
air
waves
that
come
through,
that
it's
going
to
be
real
dominance
can
be
poor,
okay,
so
this
guy's
noise,
somehow
one
way
or
another.
We
want
to
get
rid
of
him
and
there's
techniques,
processing
techniques,
especially
that
allow
you
to
get
rid
of
energy.
A
Then
we
got
this
stuff
in
here.
Is
his
listeners
ground
roll
from
the
point
of
view
of
seismic
reflection,
this
stuff
you
just
want
to
get
rid
of
it
is.
It
is
not
doing
you
any
good,
because
it's
not
a
reflective
event,
it's
not
something!
That's
bouncing
off
you
and
come
or
bouncing
off
something
and
coming
back,
it's
rolling
along
the
surface
here.
A
A
Uh-Hmm,
okay,
so
I
think
I'll,
just
I'll
just
conclude
one
more
thing
out
I.
Maybe
you
could
read
the
gpg
just
to
do
the
following
thing:
yes,
here's
what
I
want
to
plan.
A
A
I'm
going
to
have
particular
points
in
the
subsurface
that
are
reflections.
If
I
then
take
different
combinations
of
sources
and
geophones.
You
can
imagine
the
situation
like
this,
where
I've
got
a
shot
and
a
receiver
and
I've
got
another
shot
and
a
receiver
and
I've
got
another
shot
and
receiver.
They
could
all
be
kind
of
reflecting
from
that
same
midpoint.
A
A
Yeah,
so
we
were
supposed
to
finish
that
reflection
day.
I
didn't
quite
do
it
so
Monday's
thanksgiving
wednesday,
yeah,
we'll
finish
up
reflection,
seismic
as
well
as
try
to
do
a
little
bit
of
mas
w
enough
to
kind
of
get
you
going
and
then
we'll
have
on
friday,
that'll
be
the
seismic
team
based
learning
and
then
good
news
for
you
guys.
I
will
not
be
here
the
following
week,
so
we're
going
to
have
you're
going
to
get
somebody
who's
really
good
at
GPR.
It's
going
to
be
talking
to
you,
as
so.
A
The
labs
so
so,
there's
no
monday
lab,
obviously
for
thanksgiving
the
wednesday
people
will
keep
their
schedule.
So
you'll
still
do
your
wins
left
the
Monday
people
who
didn't
you
know
we're
eating
turkey,
yet
the
next
Monday
to
do
their
lab
and
there'll
be
no
lab
for
the
Wednesday
group.
So
there's
we're
missing
a
little
bit.
The
reason
that
I
want
to
do
that
is
I
want
a
front
and
load.
The
labs
are
really
important
part
of
learning
the
course.
A
So
everything
is
integrated
here
and
so
the
earlier
we
can
get
you
to
do
the
labs
it
integrates
with
the
course
you
know
it
just
makes
it
easier.
So
we're
trying
to
do
that
as
quickly
as
possible
and
then
the
add
that
the
GPR
is
going
to
take
us
through
till
the
end
of
October
will
have
a
day
for
a
midterm
review
and
then
the
midterm
will
schedule
for
November.
Second
good,
all
right
have
a
good
weekend.