KAT Exploration Inc (KATX)

[ShortonCash]

All I am saying is that both Vale and Teck seem to think that extensive drilling programs may not be the only way to deterimine the extend of the deposit that Katx may have....and explains some of the Oil exploration comment also...the statements made by some beside myself that two boring holes are enough...

http://www.physics.utoronto.ca/~exploration/Teck2010.pdf

We show an application where derived stochastic density models can be used for
mineral exploration. The proposed strategy for building 3D stochastic models
honours the information at all available borehole locations. Thus, this approach is
applicable to a wide range of near surface exploration problems in groundwater,
environmental and geotechnical investigations.
Implications for resource evaluation: Joint simulation for geochemical data
(Zn%)
The derived density model can be used to jointly simulate other geochemical
information (Zn, Pb, and Ag).



Conclusions
This study demonstrates the application of geostatistical methods to build a 3D
earth model that is based on the integration of petrophysical, geochemical and
borehole geophysics information. The availability of multiple attributes that
characterize the state of rocks from a dense distribution of boreholes provide a
necessary framework for building stochastic 3D earth models. Collocated
cokriging can be used to further refine the 3D model by accommodating the
spatial correlation between various rock property variables according to some
predefined hierarchy. We used this geostatistical approach to locally characterizeConclusions
This study demonstrates the application of geostatistical methods to build a 3D
earth model that is based on the integration of petrophysical, geochemical and
borehole geophysics information. The availability of multiple attributes that
characterize the state of rocks from a dense distribution of boreholes provide a
necessary framework for building stochastic 3D earth models. Collocated
cokriging can be used to further refine the 3D model by accommodating the
spatial correlation between various rock property variables according to some
predefined hierarchy. We used this geostatistical approach to locally characterizethe 3D distribution of the rock mass of a shallow base metal deposit in New
Brunswick, Canada.