SOLSA is a Research & Development project lead by ERAMET and was financed by the Horizon 2020 program of the European Union. Industrially driven, the consortium is composed of LE, SMEs and academic experts covering exploration, database management, instrumentation and software development, drilling rigs, analytical prototypes and marketing strategies. The goal is to develop an innovative expert system for:
(1)Getting fastly and cheaply reliable drill holes samples characterized by a better quality than those obtained by the current techniques. The sonic technique has been chosen for its development potential toward the reduction of drill hole costs and the improvement of the quality of the cores;
(2)Getting mineralogical data, systematically and directly on mines, meaning also chemical data as a help for the determination of the mineral associations and adding information on the core samples mechanics.
The project brings together industrial and academic skills and knowledges issued from 3 activity areas – mining exploration, analytical instrumentation & database – with the participation of 9 partners and 3 third parties, from 4 European countries:
(1)Exploration and mining industry represented by ERAMET (F) including SLN Le Nickel ( NC), Eijkelkamp SonicSampDrill (NL) and BRGM (F);
(2)Analytical instrumentation by INEL-TFS (F), development and test in lab by the academies CNRS-CRISMAT (F), Trento-TN and Verona-VR (I), as well as BRGM (F) and ERAMET Research (F);
(3)Database creation and data processing by the Academies IBT-Vilnius (L), Trento-TN and Verona-VR (I), CNRS-CRISMAT (F) and ERAMET Research (F); TU Delft (NL) being in charge of the economic balance sheet of the solution.
The innovation of the « expert system » SOLSA consists in the combination of the different techniques used in drilling and analysing the chemistry and mineralogy of the core samples. Data received from the whole expert system will contribute to improve the reliability of the 3D models on full interpretation of these data sets. Getting in real time data on chemistry, mineralogy, textures, grain sizes, discontinuities, and phase quantifications will give precious information to define new and innovative geo-metallurgical proxies in order to increase the efficiency of the raw material industry.