Gaining Greater Understanding of Your Exploration Data

By

The latest releases of GEOVIA GEMS™ and GEOVIA Surpac™ have been updated to include better geostatistics capabilities, which enable a higher level of confidence in block model validation.

The improved charting and data processing provide a necessary workflow to better understand the spatial relationship and influence of exploration data samples prior to estimation.

Geostatistics model

Connecting point and drill hole data to the statistics application allows you to generate:

  • Histograms, distribution curves, cumulative frequency charts, scatter plots, detailed statistics reports.
  • A new mean variance chart:
    • The plot displays the mean and the coefficient of variance on each Y-Axis.
    • Values are given for each bin defined.
    • Inflections can be compared for both of these statistical values to aid in selection of an appropriate capping or top-cut value.

Geostats- Top Cut Analysis

  • Improved log probability plots
    • A log scale is applied to the Y-Axis (Cumulative probability %).
    • Points can be selected with lines to each axis to easily identify values at inflection points.

Geostatistics graph

Declustering feature:

“Clustering” can be caused by irregular sampling in an exploration program – fan-drilling or in-fill drilling in high-grade areas may result in a disproportionate number of high grade samples and biased calculated statistics.

GEOVIA GEMS and GEOVIA Surpac include a cell declustering method and a cell size optimization feature. The cell size optimization feature facilitates a range of cell size calculations where mean values within cells are used to choose the optimum weights. A report may be created, based on various cell sizes with declustered mean values, to determine the best cell size to use for declustering.

The cell declustering method uses a grid to determine the number of samples in each grid cell. Sample points in clustered cells are given lower weights than cells with fewer points. The decluster functions provide a representative distribution of data, with a weighting assigned to each point. Weighted values can be visualized and used to validate data and the weights can also be stored for later use.

Declustering feature

Read more about the features in Surpac and GEMS in our latest releases. Or, find out more about ourGeostatistics offerings.

0
Anthony Jacobs

Anthony Jacobs

GEOVIA R&D Portfolio Management Director at Dassault Systèmes
Anthony Jacobs is a qualified Geologist with a PhD in Mining Engineering, and has worked in the mining industry for 10 years on a number of exploration, geotechnical, resource estimation and mine planning projects. He is based in the UK.