【企画講演】資源探査に関する研究の動向と大規模データプロセッシング［9/13(水) AM 第1会場］

[2101-04-04] （学生発表：博士課程）最適鉱山開発計画への地質冶金学アプローチのための地質，鉱石品位，岩石物性の地球統計学的統合

○Sylvie Rindraniaina RAHARISOLONJANAHARY¹, Katsuaki Koike¹, Mohamad Nur Heriawan², Vitor Ribeiro de Sá¹ (1. Kyoto University, 2. Bandung Institute of Technology)

司会者：久保 大樹（京都大学），桑谷 立（海洋研究開発機構），木崎 彰久（秋田大学）

キーワード：Tin deposit, tin grade, RQD, spatial modeling, kriging

Geometallurgy studies are of vital importance in the mining process, revolutionizing the industry with their innovative approach. By integrating geology and metallurgy, these studies play a crucial role in enhancing efficiency and sustainability. Recognizing the spatial variability of ore deposits, geometallurgy provides a comprehensive understanding of their geological and metallurgical characteristics, enabling mining companies to optimize extraction methods. Through the identification of valuable mineralogical and textural features, processing plants can be designed to maximize recovery rates while minimizing environmental impact. Geometallurgy brings innovation by using advanced analytical techniques and computer modeling to quantify ore variability and develop optimal mining strategies. A compelling study case that showcases the significance of geometallurgy is the exploration and extraction of tin deposits. Tin, a critical element in various industries, presents complex mineralogical challenges. As a preliminary study of geometallugy, a tin deposit in Indonesia is selected as a test field, and the spatial distributions of tin grade and rock quality distribution (RQD) are modeled by geostatistics. By accurately modeling these parameters, mining engineers can tailor mining and processing methods to optimize tin recovery and resource utilization while reducing energy and water consumption. Furthermore, this approach can increase the accuracy of spatial variability and refine the geometallurgical model with additional information.