CAGE-IN: Constrained Area Gridding for Enhanced Interpretation
CAGE-IN technology enhances existing geophysical data
Helps identify additional targets even in well explored areas
Applicable is several mineral occurrences
Demonstrated in porphyry, epithermal, skarn types
Can be applied on pre-existing surveys as well as in conjunction with fresh acquisition
CAGE-IN is an integrated interpretation and would work increasingly well if geological maps,
soil/rock geochem data, structural maps, location of historical/ artisanal workings become available
Gold Proxy Index
Coarse – free gold deposits are a delight for metallurgy and highly profitable;
BUT
Gold nuggets have an erratic distribution and their point density gets very rare with increase in
the median grain size – this makes it virtually impossible to estimate grade by drilling
Regular statistical requirement is to increase sample size multifold, this becomes unviable after a
certain depth.
We have developed a statistical correlation model where the gold grade can be predicted using
statistical models of structure, ore chemistry and pathfinders
Drill database corrections
Common sources of error in drill database are data entry errors
We have developed several multi level QA-QC routines that clean the drilling databases of errors by
flagging locations of potential errors
This results in clean data bases, ready for modelling flagging
Data validation within defined ranges
Comparing data records with 3 element and 5 elements averages of numerical data
Comparing multiple entry of text data
deviations are flagged for supervisory verification
Spectral Classification
Proprietary image classification technology uses spectral signature to identify mineral prospects
over very large areas.
Using our proprietary know-how of image classification, we can identify the following on remote
sensor imagery:
Works for regional prospect identification as well as high resolution
targeting.
Perfect for shallow mineralization with subtle superficial spectral
signature.
Has been successful in delineating targets for Cu-Au Porphyry,
hydrothermal and lateritic mineralization.
Works on the principle that mineralized bodies have identifiable
spectral signatures and the geological anomalies associated with
mineralization affect the surface bodies and vegetation.
Exploration Applications
Potential mineral bearing areas within large prospects.
Locate active mining areas, abandoned mining areas and artisinal mining areas.
Regulatory Applications
Change in mining activities sites over time.
Illegal mining activities or mining outside concession areas.
