Mine-to-mill integration for block cave mines

块状洞穴矿山的矿厂一体化

• 批准号: 493147-2015
• 负责人: Elmo, Davide
• 金额: $ 6.43万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618135
• 关键词: Mine; mill; integration; block; cave

The Geomechanics Group and the Mine-to-Mill Groups at the University of British Columbia are actively pursuing research on Cave-to-Mill, an innovative approach to integrating cave mining with milling processes to improve production forecasting and support real time grade control. Based on recent research efforts using preliminary information from the New Afton mine, the Cave-to-Mill approach can change the way that deep low-grade high tonnage deposits are mined in the future. The proposed research will advance cave mining by increasing project value and energy performance. The research is supported by the New Afton Mine as well as Canadian technology providers that are critical to the development of the Cave to Mill concept. The proposed research spans across fields that are particular to cave mining operations and looks to adopt operational strategies that up to now have been carried out at open-pit operations. The research will relate the underground caved ore size and hardness to the downstream mineral processing performance. Furthermore, it will investigate the use of sensor-based sorting systems at a cave operation. A two-year NSERC Collaborative Research and Development (CRD) grant is proposed that will work towards integrating sophisticated laboratory experiments and numerical methods to leverage historical data from the operation of the current East and West Caves to generate predictive models for evaluation, planning and potential development of new cave areas at New Afton (e.g. the C-Zone, that is being considered for development in the near future). The research will apply sensing systems to classify rock according to parameters such as particle size, hardness, metal content and ore type that will inform practices such as sorting, campaigning or blending to reduce energy consumption and benefit overall process metallurgy.

不列颠哥伦比亚省大学的地质力学小组和矿山到磨坊组织正在积极进行研究，这是一种将洞穴采矿与铣削过程相结合的创新方法，以改善生产预测和支持实时级别的控制。根据最新的研究工作，使用了新的阿夫顿矿（Afton Mine）的初步信息，洞穴到磨坊的方法可以改变未来深层高级吨位矿床的方式。拟议的研究将通过提高项目价值和能源绩效来推动洞穴采矿。这项研究得到了新的Afton矿山以及加拿大技术提供商的支持，这些提供商对于洞穴概念的开发至关重要。拟议的研究跨越了洞穴采矿业务的特定领域，并希望采用直到现在在开放式操作中进行的运营策略。这项研究将将地下洞穴的大小和硬度与下游矿物加工性能联系起来。此外，它将调查在洞穴操作中基于传感器的排序系统的使用。提出了为期两年的NSERC协作研究与发展（CRD）赠款，该赠款将致力于整合复杂的实验室实验和数值方法，以利用当前的东部和西洞穴运作中的历史数据，以生成预测模型，以评估，计划和潜在潜在的预测模型在新阿夫顿（New Afton）开发新的洞穴地区（例如，在不久的将来正在考虑开发的C区）。该研究将采用传感系统根据粒径，硬度，金属含量和矿石类型等参数进行岩石进行分类，这些参数将为排序，竞选或混合等实践提供信息，以减少能耗并使整体过程冶金。