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(4) |
Using this equation the anisotropy
parameter can be calculated from the three experimentally measured
P-wave phase velocities.
Table 3 lists the velocities found by Vernik and Nur for
their Bakken Shale sample; plugging those numbers into
equation (4) we find
.Unfortunately, each of the three P-wave velocity measurements has
a standard deviation of about
; the implied absolute standard deviation
in the calculated
is about .05, of nearly the
same order as
itself.
This is not the whole story; Equation (4) is a weak-anisotropy approximation to the equation
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(5) |
The ``new, improved'' equation does have some drawbacks.
Equation (4) requires only
,
, and
;equation (5) contains the term C55,
and so requires in addition
(and/or
).
Working with equation (5), assuming a
standard deviation of
for SV velocity measurements,
we find
.This is quite a different answer from the first one and suggests
we should be wary of equation (4) if the anisotropy
is not weak.
Of course, this is still not the whole story;
if we make use of the and
SV measurements,
why not the
measurement as well?
There may even be compelling reasons to include it;
if we
assume the
measurement has a standard deviation of
in Vernik and Nur's example
(like we did for the
and
SV ones)
we find that the
SV measurement
actually constrains C13 (and thus
)almost twice as well as the
P measurement.
How is this possible, given that the
P velocity measurements were assumed to be twice as exact?
It happens because a small change in C13 has more effect on
SV phase velocities than it does on
P
phase velocities. (This is not some fluke of our particular example;
this should almost always be the case.)
It is unlikely the values of C13 calculated using
the two different measurements will coincide.
For our example we find from the
P measurement
and from the SV measurement
.If the two values wildly disagree it probably indicates something
is wrong with one of the measurements; here from the modeling we
suspect the
P measurement could be
too slow.
If we adjust the
value to correct for that
we get
for our P-only value, which
narrows the mismatch to a more acceptable level.
Ideally all available information should be used to find the most
likely value for C13; knowledge of each measurement's error bars
along with its contribution to the answer can then be used to
put error bars on C13. Doing this for Vernik and Nur's model (using
the adjusted P measurement) we
find
, and
.
Clearly the value of we find is rather disturbingly sensitive
to which equation and subset of available measurements we use.
(For this example we could have found
to be
.075, .108, .165, .180, .189, or .217!)
Of course not all values are equally justifiable;
great care must be taken.
Vernik and Nur decided to discard their
SV measurement because
it implied such an (improbably?) large value for
.
The situation is not so grim for Thomsen's anisotropy parameter;
the exact equation is
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(6) |