2022-02-112022-02-112021-06-22QUADROS, Camila Sandy Cunha. Mapas de qualidade de frentes de lavra baseados em modelos de blocos, metodologia para aprimoramento na seletividade do minério: estudo de caso. Orientador: Evaldo Raimundo Pinto da Silva; Coorientador: Paulo Sérgio da Costa Pinto Junior. 2021. 69 f. Trabalho de Curso (Bacharelado em Geologia) - Faculdade de Geologia, Instituto de Geociências, Universidade Federal do Pará, Belém, 2021. Disponível em: https://bdm.ufpa.br:8443/jspui/handle/prefix/3814 . Acesso em:.https://bdm.ufpa.br/handle/prefix/3814In the mining, problems are usually faced related to the correct delimitation of a determined mineral body, as well as the definition and evaluation of the most adequate quantitative and qualitative parameters. Therefore, mine planning needs to predict the best way to extract a specified mineral asset with the greatest possible economic use of the deposit. So, several quality tools are defined so that these premises are achieved. Thus, the main objective of this work is to elaborate ore quality maps in the mine faces, made from geological block models of deposits, based on important technological parameters for ore classification, with the purpose of assisting in the short-term mine planning, mainly in terms of quality control in the mine faces, increasing the selectivity of the ore, the segregation of piles and the reduction of losses due to contamination during processing. The study in question was developed in two Kaolin Mines (A and B), located in the Ipixuna do Pará city, northeast of the Pará state, both belonging to the same company. The methodology used to develop these maps relied on the use of two software quite used in the mineral industry, GEOVIA Surpac and ArcMap 10.2. To validate whether the maps were in line with reality, sampling works was carried out to measure how correlated the data were. With the laboratory results in hand, bivariate statistical analyzes were performed, which indicated that the results obtained show that the correlations between planned and executed data are between 83% and 92%, denoting a strong to very strong correlation level, according to the Pearson coefficient (r). In addition, the coefficient of determination (r²) indicates that at least 70% to at most 85% of the planned information can be defined in the executed, this implies that the residual percentage of this operation cannot be explained by variations in the model, and it is attributed to external factors that can interfere with the process. This allows us to conclude that the quality maps developed in this work are tools applicable to the short-term mine planning of mines A and B studied, with a low degree of variability, thus being able to help in the quality control of the mine faces.Acesso AbertoMapas de qualidadePlanejamento de lavraSeletividade do minérioControle de qualidadeModelo de blocosQuality mapsMine planningOre selectivityQuality controlBlock modelCNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOLOGIATrabalho de Curso - Graduação - Monografia