This type of regularization, very frequent in practice, corresponds to the
construction of the variogram of the mean grades of core samples along the
length of a bore-hole, cf. Figure 5.8.
It is assumed that all the core samples
have the same length and the same cross-sectional area
.
. Let
The random function regularized on the support
of the core
sample is written as
When the cross-sectional area of the core sample is negligible, two core
samples can be considered as two aligned segments
and
of the same
length
and separated by a distance
, cf. Figure 5.8.
The regularized semi-variogram can then be written
This regularization by cores assimilated to a segment of length will be
illustrated on the simplest theoretical point variogram model,
the linear model
If denotes the coordinate along the length of the bore-hole, the first term
for the regularized semi-variogram is
written
According to whether or not is less than
, i.e., whether or not the
two segments
and
overlap, we have the following two
expressions (see Figure 5.9):
Collecting the formulas, the regularized semi-variogram is
For distances
, the regularized semi-variogram is parabolic. The
cores of length
overlap each other and the regularizing effect is strong
enough to change the behavior of the model at the origin from linear to
parabolic.
For distances
, which, in practice, are the only distances
observable,
the linear behavior of the point model is preserved and the regularized
model differs from the point model by a constant value
If the regularized curve for
is projected towards
, the
ordinate axis is intercepted at
and this negative value is called a
``pseudo-negative nugget effect'' due to regularization.