Data    reinterpretation
Multi-element statistical analysis permits minimization of geochemical noise and definition of factors responsible for  mineralization processes. Below is an example of reinterpretation of a lake sediment survey. The figures are created using the same analytical data.
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Geochemistry
Gold  is interpreted to be present in faults (Factor A)
Factor B for gold is interpreted to be associated with sulfides in faults

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Plot for gold using raw analytical data

Reinterpreted data for gold shows several processes that have been involved in the spatial distribution of gold within the survey area

Factor C is assumed to identify gold assosiated with sulfides in mafic-ultramafic rocks.
 The trend of these linears is parallel to gabbro dykes inferred from magnetic data.

Reinterpreted   data
Raw data
Contacts
  • Multi-element      statistics
  • Surficial reserve evaluation
Au  ppb
Factor  A
Factor  A
Factor  C
Factor  B
The  report on
lake sediment data interpretation
is available here:

Interpretation