An optimization framework for block-cave mine planning

块洞式矿山规划优化框架

• 批准号: RGPIN-2016-06163
• 负责人: Pourrahimian, Yashar
• 金额: $ 1.75万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=662528
• 关键词: optimization; framework; block; cave; mine

The Canadian mining industry is one of the fastest growing sectors in North America. According to Canada's Economic Action Plan the energy and mining sector provides over $30 billion a year in revenue to governments- money that supports critical social programs such as health care, education and public pensions. Canada has a global responsibility to develop and utilize its mineral resources sustainably and optimally. The economics of today's mining industry are such that the major mining companies are increasing the use of massive mining methods. They expect that, approximately 50 percent of the world's copper production will come from underground mines by 2020. It is a step change for the industry, from the traditional open-pit to a move underground. Among the mining methods available, caving methods are favored because of their low-cost and high-production rates. Block-cave mining is one of the best solutions for continuing the operation after shutting down the mine in deep open-pit mines.****The proposed research program builds on our past findings to develop an optimization framework for block-cave mine planning. This research directly contributes to the creation of new knowledge, and innovative technologies for block-cave production planning. This research is focused on applications of operations research in the context of mine planning. It is anticipated that the outcome of this research will contribute to responsible resource development by transferring knowledge to practitioners and end-users through prototype open-source software applications in the resources industry. ****The importance of this study can be examined from different perspectives. A production scheduling methodology that is based on a limited number of influential parameters will lead to optimistic production schedules. Also, relying only on manual planning methods or computer software that is based on heuristic algorithms will lead to mine schedules that are not the optimal global solution. Unfortunately, common methodologies and tools used in mining industry for block-cave scheduling are not adequate in dealing with the complexity of the optimal production scheduling of mineable deposits. Moreover, decisions related to block-cave planning are based on models that predict the behavior of rock masses and the recovery of ore. Rarely do these models account for variation in metallurgical characteristics or the influence of cave fragmentation on mill performance.****Development of new technologies, optimization, and uncertainty quantification in long-term planning play a vital role in reducing environmental footprint and financial risk of block-cave projects. The outcome of the research is expected to result in sustainable optimal block-cave plans. This research will also result in training HQP with key capabilities in block-cave mine design and optimization.**

加拿大采矿业是北美发展最快的部门之一。根据加拿大的经济行动计划，能源和采矿部门每年为政府提供超过300亿美元的收入 - 支持关键社会计划，例如医疗保健，教育和公共养老金。加拿大有责任可持续，最佳地开发和利用其矿产资源。当今采矿业的经济学使主要的采矿公司正在增加大量采矿方法的使用。他们预计，到2020年，世界上约有50％的铜生产将来自地下矿山。从传统的开放位置到地下移动，这对行业来说是一个逐步的变化。在可用的采矿方法中，由于其低成本和高生产率，因此洞穴方法受到青睐。块洞穴采矿是在深处开放式矿山中关闭矿山后继续操作的最佳解决方案之一。这项研究直接有助于创建新知识，以及用于块洞穴生产计划的创新技术。这项研究的重点是在矿山计划的背景下进行操作研究的应用。 可以预料，这项研究的结果将通过资源行业的原型开源软件应用程序将知识转移给从业人员和最终用户，从而为负责任的资源开发做出贡献。 ****可以从不同的角度检查这项研究的重要性。基于有限数量的有影响力参数的生产调度方法将导致乐观的生产计划。同样，仅依靠基于启发式算法的手动规划方法或计算机软件将导致矿山时间表，而不是最佳的全球解决方案。不幸的是，在采矿行业中使用的常见方法和工具用于砌块式洞穴调度不足以应对最佳矿床的最佳生产计划的复杂性。此外，与块洞穴计划有关的决策是基于预测岩石质量行为和矿石回收率的模型。这些模型很少说明冶金特性的变化或洞穴碎片对磨坊性能的影响。****长期计划中新技术，优化和不确定性量化的开发在降低环境足迹和块洞项目的财务风险方面起着至关重要的作用。该研究的结果有望导致可持续的最佳块洞穴计划。这项研究还将导致培训HQP具有块洞矿山设计和优化的关键功能。**