Search for dissertations about: "Geometallurgical approach"
Showing result 1 - 5 of 11 swedish dissertations containing the words Geometallurgical approach.
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1. Bringing predictability into a geometallurgical program : An iron ore case study
Abstract : The risks of starting, operating and closing mining projects have become higher than ever. In order to stay ahead of the competition, mining companies have to manage various risks: technical, environmental, legal, regulatory, political, cyber, financial and social. Some of these can be mitigated with the help of geometallurgy. READ MORE
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2. Geometallurgical study of historical tailings from the Yxsjöberg tungsten mine in Sweden : Characterization and reprocessing options
Abstract : Tungsten (W) is listed among the European Union (EU) critical raw materials (CRMs) for its supply risk and economic importance. Primarily, tungsten is produced from scheelite and wolframite mineral ores with 0.08-1.5% tungsten trioxide (WO3) grade. READ MORE
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3. Particle generation for geometallurgical process modeling
Abstract : A geometallurgical model is the combination of a spatial model representing an ore deposit and a process model representing the comminution and concentration steps in beneficiation. The process model itself usually consists of several unit models. READ MORE
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4. Development of a geometallurgical framework for iron ores - A mineralogical approach to particle-based modeling
Abstract : The demands for efficient utilization of ore bodies and proper risk management in the mining industry have resulted in a new cross-disciplinary subject called geometallurgy. Geometallurgy connects geological, mineral processing and subsequent downstream processing information together to provide a comprehensive model to be used in production planning and management. READ MORE
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5. Geometallurgical programs – critical evaluation of applied methods and techniques
Abstract : Geometallurgy is a team-based multidisciplinary approach aimed at integrating geological, mineralogical and metallurgical information and yielding a spatial quantitative predictive model for production management. Production management includes forecast, control and optimization of the product quality (concentrates and tailings) and metallurgical performance (e. READ MORE