Geology Reference
In-Depth Information
The pair correlations of these parameters reviewed in the previous sec-
tions (Figures. 8.4, 8.6-8.10; Tables 8.4-8.10) may be used for a preliminary
estimate of hydrocarbon reserves, fine-tuning the potential of new and
selecting the supplemental appraisal strategy of old prospects. Therefore,
these correlations are in substance objective exploration criteria.
A methodological technique for the application for these purposes of
graphic data is the determination of geometrical positions of the points
corresponding with new prospects, parts of structures, etc. in relation with
functions
Q
i
known for a region (approximation curves for the reliably
set positions of other fields in the region, structures, fault-blocks, etc.). In
some cases the hydrocarbon reserves density can drastically differ with the
accurately determined structural, hydrodynamical, geothermal and baric
parameter (the actual points drastically deviate from the standard curve
for the area or region). In other cases the reserve densities may substan-
tially differ (the extremal area of the curve is limited within a narrow range
of average correlation parameter values). In such cases, the supplemen-
tal appraisal of these prospects should be recommended for a purpose of
accruing the commercial reserves or writing-off the unsupported reserves.
In both cases the reserves density correction may be performed by way of
projecting the actual points onto the standard regional (areal) curve.
Mathematical analysis of the described pair correlations established
the normal or lognormal (or a close to them) parameter distributions
(Figures. 8.4, 8.6-8.10). It gives a good geologic reason to suggest that the
actual natural environment of the Alpine regions was dominated by the
injection/cross-flow oil and gas aggregations' formation mechanism.
9.2
Zonal and Regional Geologic Models of Oil and
Gas Occurrence in Alpine Mobile Belt Basins
Within the framework of the conceptual-imitation approach taking into
account the dominant role of vertical fluid-mass-transfer, multiple cor-
relation of the aforementioned parameters provides an opportunity to
perform geologo-mathematical modeling of local structures' oil and gas
occurrences as functions of the stated parameters: to determine
Q
i
=
f
(
d
i
,
К
ин
,
h
a
,
H
з п
, Г,
К
ан
,
М
).
Modeling results derived using the group argument counting technique
are included in Table 9.1. The multiple correlation coefficients are high,
0.830-0.998, which indicates sufficient robustness of the proposed models.
It also shows the possibility of their practical application in preliminary
