Integrated Mining and Waste Management Optimization Framework for Sustainable Resource Development

可持续资源开发的综合采矿和废物管理优化框架

• 批准号: RGPIN-2016-05707
• 负责人: BenAwuah, Eugene
• 金额: $ 1.68万
• 依托单位: Laurentian University of Sudbury
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=709931
• 关键词: Integrated; Mining; Waste; Management; Optimization

SUMMARY OF PROPOSAL The Canadian mining and mineral processing industry is one of the fastest growing sectors in North America, employing about 380,000 people. There have been huge investments in this sector and over $160 billion dollars' worth of new mining investments are expected to take off over the next decade. With intense global competition in mining investments, mining projects are continuously being reviewed against environmental and social sustainability aside profitability. It is therefore imperative that continuous research to push the limits of profitable sustainable technologies by innovation remains at the forefront of research in this sector. The proposed research focuses on the applications of operations research methods in the sustainable development of natural resources. Mining and waste management are generally viewed as separate functions during the planning and design of mining complexes. Optimizations of these functions are generally carried out with little regard to interdependencies that exist among them during and after mine life. Separate optimization of each function does not guarantee global optimality which can support responsible and sustainable resource development. In mining projects, deviations from optimal mine plans may result in significant financial losses, future financial liabilities, delayed reclamation and resource sterilization. The primary objective of the proposed research is to develop a theoretical framework for integrating mine planning and waste management optimization for sustainable resource development. The outcome of the research is expected to lead towards seamless integration of waste management and mine planning systems resulting in sustainable optimal mine plans and designs. This will ensure that: there is continuous reclamation during mining; final landscape designs are environmentally acceptable; resource sterilization is avoided; and mineralized mine waste is properly managed as a future resource. The contribution of this research will be a framework and methodology that promotes sustainable mining through the stochastic optimization of material flow through the mining system. This knowledge will be transferred to mining practitioners and end-users through prototype software applications. The research will train highly qualified mining professionals (students) to ensure improved resource governance, total mine reconciliation and reduced environmental footprints during and after mine life through robust decision making. This will spur growth and competitiveness in the Canadian mining industry.

提案摘要 加拿大采矿和矿物加工业是北美增长最快的行业之一，雇用约38万人。在这一领域已经有了巨大的投资，预计未来十年将有价值超过1600亿美元的新采矿投资。随着采矿投资的全球竞争激烈，采矿项目除了盈利能力外，还不断根据环境和社会可持续性进行审查。因此，必须继续研究，通过创新来推动可盈利的可持续技术的极限，这仍然是该领域研究的最前沿。该研究的重点是运筹学方法在自然资源可持续发展中的应用。 在采矿综合体的规划和设计过程中，采矿和废物管理通常被视为单独的职能。这些功能的优化通常很少考虑到在矿山寿命期间和之后它们之间存在的相互依赖性。 单独优化每个功能并不能保证全局最优，而全局最优可以支持负责任和可持续的资源开发。在采矿项目中，偏离最佳采矿计划可能导致重大财务损失、未来财务负债、延迟复垦和资源消毒。 拟议研究的主要目标是开发一个理论框架，整合矿山规划和废物管理优化可持续资源开发。研究成果预计将导致废物管理和矿山规划系统的无缝整合，从而产生可持续的最佳矿山规划和设计。这将确保： 开采过程中不断复垦; 最后的园景设计符合环保要求; 避免资源灭菌; 矿化矿山废物作为未来资源得到适当管理。 这项研究的贡献将是一个框架和方法，通过随机优化采矿系统的物料流来促进可持续采矿。这一知识将通过原型软件应用程序转让给采矿从业人员和最终用户。该研究将培训高素质的采矿专业人员（学生），以确保通过强有力的决策，改善资源治理，全面的矿山和解，并在矿山寿命期间和之后减少环境足迹。这将刺激加拿大采矿业的增长和竞争力。