Technologies

Geology-Geophysics data integration

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
Gold Proxy Index Gold Proxy Index

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
Drill database corrections sample QA/QC tool

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.