Stratégie d'échantillonnage des mesures LIBS in situ de la teneur en or dans des échantillons miniers : optimisation par analyse statistique

Authors: Nguegang Kamwa, Blandine
Advisor: Laflamme, MarcelConstantin, Marc
Abstract: In Quebec, 19 gold mines produce more than C (dollar) 1.8 billion of gold annually. In these mines, hundreds of rock samples are collected daily and sent to the laboratory to determine their gold concentrations. Since laboratory results are only available after 24 to 48 hours, there is a direct negative impact on mining activities. Technological advances in recent years suggest that Laser Induced Breakdown Spectroscopy (LIBS) may be a promising technology for real-time and in-situ measurement of the gold content of rock samples. Considering the size of each shot produced by the laser on a rock sample, namely 500 µm, many shots will be required in order to obtain a representative result of the sample analyzed. For example, for a 50 cm long core sample, and a surface analyzed between 70 and 80%, 10,000 laser shots were fired to ensure to obtain a result representative of the sample, with an acquisition time of half a day in the laboratory, which is a too long period of time for a practical application in mines. For this reason, the objective of this project is to minimize the number of LIBS shots required on a sample to be analyzed, while remaining representative of the latter, and thus obtain a reliable and accurate measurement of the gold content. For this, a descriptive statistical analysis combined with several elaborate patterns is applied to the 10,000 LIBS data obtained. By setting a compromise between the number of shots to be made on a sample and the analysis time, the Loop pattern minimizes the number of shots with an acceptable analysis time. From the latter, a sampling protocol has been developed, where to be representative of core samples, 1500 shots are needed whereas for rock samples, only 100 shots are needed. However, it would be important to be
Document Type: Mémoire de maîtrise
Issue Date: 2019
Open Access Date: 17 May 2021
Grantor: Université Laval
Collection:Thèses et mémoires

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