Page 85 - Machine Learning for Subsurface Characterization
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Shallow neural networks and classification methods Chapter
is
distributions.
7
Track
clay;
T 2
of
NMR
volume
the
is
and
10
factor
Track
photoelectric
and
saturation;
formation
fluid
and
is
content
6
Track
mineral
porosity;
namely,
neutron Track 1 is depth; Track 2 contains gamma ray (GR) and caliper; Track 3 contains DTSM, DTCO, and VPVS; Track 4 is induction resistivity logs at 10-in. 3 71
and logs,
porosity inversion-derived
density
contains six the
5
Track contain 9
depth; and 8
(AT90) Tracks
90-in. density;
and
FIG. 3.2 (AT10) formation
