
that change with angle. Whitcombe (2002) defines a useful normalization for the
elastic impedance:
I
e
ðÞ¼½V
P0
0
V
P
V
P0
ð1þtan
2
Þ
0
ð14K sin
2
Þ
V
S
V
S0
ð8K sin
2
Þ
where the normalizing constants V
P0
, V
S0
,andr
0
may be taken to be either the
average values of velocities and densities over the zone of interest, or the values at
the top of the target zone. With this normalization, the elastic impedance has the
same dimensionality as the acoustic impedance. The extended elastic impedance
(EEI) (Whitcombe et al., 2002) is defined over an a ngle w, ranging from –90
to
þ90
. The angle w should not be interpreted as the actual reflection angle, but
rather as the independent input variable in the definition of EEI. The EEI is
expressed as
I
e
ðÞ¼½V
P0
0
V
P
V
P0
ðcos þsin Þ
0
ðcos 4K sin Þ
V
S
V
S0
ð8K sin Þ
Under certain approximations, the EEI for specific values of w becomes
proportional to rock elastic parameters such as the bulk modulus and the shear
modulus.
In applications to reservoir characterization, care must be taken to filter the logs to
match the seismic frequencies, as well as to account for the differences in frequency
content in near- and far-offset data. Separate wavelets should be extracted for the
near- and far-offset angle stacks. The inverted acoustic and elastic impedances
co-located at the wells must be calibrated with the known facies and fluid types in
the well, before classifying the seismic cube in the interwell region.
Major limitations in using partial-stack elastic-impedance inversion arise from the
assumptions of the one-dimensional convolutional model for far offsets, the assump-
tion of a constant value for K, and errors in estimates of the incidence angle. The
convolutional model does not properly handle all the reflections at far offsets,
because the primary reflections get mixed with other events. The approximations
used to derive the expressions for elastic impedance become less accurate at larger
angles. The first-order, two-term elastic impedance has been found to give stabler
results than the three-term elastic impedance (Mallick, 2001). Mallick compares
prestack inversion versus partial-stack elastic impedance inversions and recommends
a hybrid approach. In this approach, full prestack inversion is done at a few control
points to get reliable estimates of P and S impedance. These prestack inversions are
used as anchors for cheaper, one-dimensional, trace-based inversions over large data
volumes. Based on these results, small zones may be selected for detailed analysis by
prestack inversions.
117 3.7 Elastic impedance