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              <p>As part of the European SOLSA project, BRGM and CRISMAT are participating in the development of a multi-sensor expertise bench (SOLSA ID2A-ID2B). The major challenge of SOLSA is to understand the approach of a field geologist to samples in order to enable the retranscription of his knowledge in the form of intelligent algorithms. In this context, a sample prepared in three forms (powder, thin slide and raw sample) was selected in this study. It is a serpentinised harzburgite. The sample was first characterised in the laboratory (X-ray fluorescence, ICP-AES, and X-ray diffraction) and then analysed under these different preparations on SOLSA ID2B. This study showed that the field approach allows similar results to those obtained in the laboratory but with a higher profitability. By comparing the results obtained on the three types of preparation, it was shown that the influence of the sample preparation is minor on the combined FluoX-DRX results. Finally, by creating an algorithm allowing the superposition of RGB images and the spatial distribution of chemical elements (Fig 1), it was possible to improve the knowledge of substitutions within the phases present, the location of certain elements in preferential zones and the element/element and phase/element correlations.</p>
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              <p>Dans le cadre du projet européen SOLSA, le BRGM et le CRISMAT, participent au développement d’un banc d’expertise multi-capteurs (SOLSA ID2A-ID2B). L’enjeu majeur de SOLSA, est d’appréhender l’approche d’un géologue de terrain sur des échantillons afin de permettre une retranscription de son savoir sous forme d’algorithmes intelligents. Dans ce contexte, un échantillon préparé sous trois formes (poudre, lame mince et échantillon brut) a été sélectionné dans cette étude. Il s’agit d’une harzburgite serpentinisée. L’échantillon a d’abord été caractérisé en laboratoire (fluorescence X, ICP-AES, et diffraction des rayons X) puis analysé sous ces différentes préparations sur SOLSA ID2B. Cette étude a permis de montrer que l’approche de terrain admet des résultats similaires aux résultats obtenus en laboratoire mais avec une rentabilité plus élevée. En comparant les résultats obtenus sur les trois types de préparation, il a été démontré que l’influence de la préparation de l’échantillon est mineure sur les résultats combinés FluoX-DRX. Enfin, par la création d’algorithme permettant la superposition d’image RVB et la distribution spatiale des éléments chimiques (Fig 1), il a été possible d’améliorer la connaissance des substitutions au sein des phases présentes, la localisation de certains éléments dans des zones préférentielles et les corrélations éléments/éléments et phases/éléments.</p>
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