Geology-Geophysics data integration
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;
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
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
- 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
Works for regional prospect identification as well as high resolution
Perfect for shallow mineralization with subtle superficial spectral
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.
Potential mineral bearing areas within large prospects.
Locate active mining areas, abandoned mining areas and artisinal mining areas.
Change in mining activities sites over time.
Illegal mining activities or mining outside concession areas.