BRGM Mineral Prospectivity Conference
Beak presents mineral predictive mapping results from the German Erzgebirge

24th - 26th October 2017, Orléans (France)


The international conference “Mineral prospectivity: current approaches and future innovations”, which is organised by BRGM (Bureau de Recherches Géologiques et Minières), ISTO (Institut des sciences de la Terre d'Orléans) and the Russian-French Metallogenic Laboratory (RFML), will take place in Orléans (France) from 24th to 26th October 2016. The main target of this conference is to bring together specialists from different fields of “Predictive Geosciences” to discuss the raised issues. Themes of the conference are the acquisition and consistency of field data, kriging and scaling of data as well as laboratory experimentations and data processing methodologies.

On 25th October at 9:00 a.m., Dr Andreas Barth from Beak Consultants GmbH will give a keynote lecture about “Mineral predictive mapping - from intuition to quantitative hybrid 3D modelling”. For many years, mineral predictive mapping was guided by intuition and knowledge based approaches using maps and exploration models. Agricola already created significant foundations in the 16th century with his work "De re metallica libri XII". Raw materials were explored and found based on knowledge and intuition.

Figure 1: Ore prospecting after Agricola (1556): De re metallica libri XII.

The development of affordable computers, together with the broad availability of various data sets provided the base for development of various computer based mineral predictive mapping technologies. The availability of easy to use software products (e.g. Beak`s advangeo® Prediction Software) will enhance the introduction of these technologies into daily practical work making them available to normal GIS users and 3D modellers.

Mineral potential maps are important value-added products compared to simple datasets. They provide new knowledge and ideas to both private and public bodies, which usually do not have the capabilities for this type of research.

Figure 2: Overview about general applicability of data driven, knowledge driven and hybrid systems.

In addition, Andreas Brosig from Beak will present a poster about “Mineral predictive mapping in 2D, 2.5D and 3D using Artificial Neural Networks – Case study of Sn and W deposits in the Erzgebirge, Germany” in cooperation with the Saxon State Office for Environment, Agriculture and Geology (Sächsisches Landesamt für Umwelt, Landwirtschaft und Geologie , LfULG). The central Erzgebirge is well known for its tin and tungsten deposits. A combination of knowledge and data driven approaches was used to create qualitative and quantitative prediction maps for both vein-hosted and skarn-hosted Sn and W deposits. The advangeo® Prediction Software uses artificial neural networks (ANN) to create 2D, 2.5D and 3D predictive models for these and other commodities.

Figure 3: 3D view of the 2.5D skarn prediction color-coded with the predicted favourability. The paler colour scale represents the eroded parts of the deposits. View is from the SW across the Aue-Schwarzenberg gneiss dome.

More information about the conference can be found on the website and in the programme.