Information Technology Reference
In-Depth Information
We have
ln
Z
(
x
,
y
,
ln
T
)
=
ln
|
Z
(
x
,
y
,
ln
T
)
|
e
i
arg
Z
(
x
,
y
,
ln
T
)
=
ln
|
Z
(
x
,
y
,
ln
T
)
|
+
i
arg
Z
(
x
,
y
,
ln
T
)
ln
Y
(
x
,
y
,
ln
T
)
=
ln
|
Y
(
x
,
y
,
ln
T
)
|
e
i
arg
Y
(
x
,
y
,
ln
T
)
=
ln
|
Y
(
x
,
y
,
ln
T
)
| +
i
arg
Y
(
x
,
y
,
ln
T
)
W
(
x
,
y
,
=
Re
W
(
x
,
y
,
+
i
Im
W
(
x
,
y
,
ln
T
)
ln
T
)
ln
T
)
ln
A
(
x
,
y
,
ln
T
)
,
103)
where
Z
is a component of t
he tensor [
Z
] (for
instance,
Z
xy
) or its scalar invari-
ant (for instance,
Z
eff
(10
.
Z
xx
Z
yy
−
Z
xy
Z
yx
),
Y
is a component of the tensor
[
Y
] (for instance,
Y
xy
) or its scalar invariant that re
duces to the Tikh
onov-Cagnard
=
admittance in the 1D-model (for instance,
Y
eff
=
Y
xx
Y
yy
−
Y
xy
Y
yx
),
W
is a com-
ponent o
f the tippe
r
W
(for instance,
W
zx
) or its scalar invariant (for instance,
W
W
zx
+
A
is a component of the apparent resistivity (for instance,
xy
) or one of its scalar invariant (for instance,
=
W
zy
),
2
/
o
).
The impedance, admittance, tipper and apparent-resistivities metrics (misfits) are
defined as
eff
= |
Z
eff
|
Z
(
x
,
y
,
T
)
−
Z
(
x
,
y
,
T
)
2
R
⎧
⎨
⎩
+
[arg
Z
(
x
,
y
,
ln
T
)
−
arg
Z
(
x
,
y
,
ln
T
)]
2
⎫
ln
Z
(
x
,
y
,
ln
T
)
|
Z
(
x
,
y
,
ln
T
)
|
2
⎬
⎭
=
X Y
T
max
dT
T
dydx
T
min
(10
.
104)
Y
(
x
,
y
,
T
)
−
Y
(
x
,
y
,
T
)
2
R
⎨
⎩
ln
T
)]
2
⎬
⎭
ln
Y
(
x
,
y
,
2
ln
T
)
|
Y
(
x
,
y
,
ln
T
)
|
=
X Y
T
max
dT
T
[arg
Y
(
x
+
,
y
,
ln
T
)
−
arg
Y
(
x
,
y
,
dydx
T
min
(10
.
105)
T
)
2
R
W
(
x
,
,
−
,
,
y
T
)
W
(
x
y
=
X
T
max
ln
T
)]
2
dT
T
[Re
W
(
x
,
y
,
ln
T
)
−
Re
W
(
x
,
y
,
dydx
(10
.
106)
Y
T
min
+
X Y
T
min
T
max
ln
T
)]
2
dT
T
[Im
W
(
x
,
y
,
ln
T
)
−
Im
W
(
x
,
y
,
dydx