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QG services |
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services > variography
The QG team have extensive practical experience with variography
and spatial characterisation of grade distribution for both
open pit and underground mines and for exploration stage projects.
We can provide:
- Systematic univariate and multivariate variography and
statistical analysis.
- Real-world mining and geological experience: open-pit
& underground.
- Excellent communication skills to practitioners (geologists,
engineers, metallurgists) and other stakeholders (managers,
investors and financiers).
- Graphical outputs including variogram maps.
- Ability to hit the ground running and identify major issues
rapidly.
- Understanding of the context of the problem.
- Broad knowledge of mining and geological issues.
- Genuine expertise in geostatistics.
- Ability to work with data from any software system (Medsystem,
Vulcan, Datamine, etc.).
- Experience in Australia and internationally, for a range
of commodities
including Au, Cu, Ni, Fe, Al, Mn, Sn, diamonds...
- International experience: Africa; North America; Europe;
Russia; Central Asia; South East Asia; Papua New Guinea.
- Widely respected, highly-rated training
courses. John Vann has
run over 80 courses in 8 countries since 1994. Scott
Jackson is also a skilled, effective presenter, experienced
in skills-transfer on mine sites. QG can transfer skill
to you team.
Why choose QG for variography?
By virtue of using Isatis,
QG can apply a whole range of approaches to variography such
as
- Traditional variograms
- Gaussian transformation
- Indicator transformation
- Various relative variograms (pair-wise, general, etc.)
- Variogram maps in 2D and 3D
- A range of other alternatives (Madograms etc., if required)
- Multi-element (multivariate) variogram studies: cross-variography.
QG can utilise the output of these studies to:
- Help with domaining (stationarity) decision-making
- Characterise spatial variability
- Determine appropriate drilling strategies (estimation
variance study)
- Characterise the impact of selectivity (change of support
study)
- Quantify the appropriate search for estimation and other
aspects of the kriging
plan (block size, discretisation etc.) via 'quantified kriging
neighbourhood analysis'
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Scott Jackson (left), Scott Dunham (centre), and John Vann (right) are the Directors of Quantitative Group
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