Page 86 - Machine Learning for Subsurface Characterization

Shallow neural networks and classification methods Chapter 3 71

is
7
Track distributions.
clay; T 2

of NMR
volume the

and is 10
factor Track
photoelectric and saturation;

formation fluid

is and
6
Track content
porosity; 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. mineral

neutron namely,

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