Supervisor

Advanced Geostatistics

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Invaluable tool for resource estimation professionals.

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Simple intuitive interface and workflow.

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Advanced local and global estimation optimisation functionality.

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Compatible with all major mine planning software packages.

Supervisor

Geostatistics Solution

Built by Geologists for Geologists, Supervisor helps solve practical geological issues in the shortest possible time. Billions of dollars are invested in projects based on resource estimates. Biased data or invalid domains generate unreliable results with dramatic downstream economic implications. Supervisor provides everything you need to optimise your resource estimate.

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“Supervisor is the industry standard for EDA and Geostats.”

Client Survey Feedback, Feb 2020.

Key Features

Statistical Analysis & Domaining

Supervisor provides a range of univariate and multivariate data analysis tools that allow you to rapidly understand the characteristics of the orebody. Importing point and block data from multiple sources and formats you can easily examine and compare statistical populations, perform contact boundary analysis and declustering.

Topcutting Strategies

Supervisor’s global topcut analysis lets you set different topcuts using the histogram, probability plot, mean-variance plot and cumulative metal plot independently and assess the impact on associated statistics.The local topcut transition model allows you to apply a topcut to each sample based on its distance from the block centroid. When used in conjunction with the LKNO functionality you can account for the variability of informing samples on a block by block basis.

Variography

Variograms represent the grade continuity within your deposit and are a key input to the kriging process. Supervisor’s easy to use variogram analysis is interactive, allowing the user to view and model variograms for all directions at once and view them in 3D.

Estimation Parameter Optimisation

Optimise block size and estimation parameters with an interactive and simple to use Kriging Neighbourhood Analysis (KNA) interface to ensure a better quality estimate and to reduce oversmooothing. Supervisor also provides an alternative approach to optimising estimation parameters using Local Kriging Neighbourhood Analysis (LKNO). LKNO ensures that each block is estimated with the best possible combination of estimation parameters.

Model Validation

Ensure the accuracy of your estimate against the input data in a fraction of the time and test the theoretical grade tonnage curve using global change of support. Model validation generates grade trend plots, histograms, log probability plots, statistics and global change of support to assess the quality of an estimate.

Coming Soon

  • Conditional simulation
  • Multivariate conditional simulation
  • Uniform conditioning
  • Situational variography

“The best tool available in the market for variography and KNA, smart and fast flow, very customisable, helped us in the gold group to unveil the reality and [make] better decisions for mining production.”

Client Survey Feedback, Feb 2020

New Software Update

Supervisor 8.13

We’re excited to announce that the next major release of Supervisor is now available! Version 8.13 brings with it a long requested feature, Sequential Gaussian Simulation (SGS). We’ve worked closely with some of our users to test and develop this feature, and we’re delighted to make it available for commercial use today. Watch a short demo that steps through the process of easily creating a simulation and explores each of the new post-processing components.

Watch on YouTube
Watch on YouTube

We’re excited to announce that the next major release of Supervisor is now available! Version 8.13 brings with it a long requested feature, Sequential Gaussian Simulation (SGS). We’ve worked closely with some of our users to test and develop this feature, and we’re delighted to make it available for commercial use today. Watch a short demo that steps through the process of easily creating a simulation and explores each of the new post-processing components.