Numerical Modeling of Variability Through Mining, Extraction and Tailings Management

采矿、开采和尾矿管理中的变异性数值模拟

• 批准号: RGPIN-2017-04148
• 负责人: Deutsch, Clayton
• 金额: $ 2.99万
• 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: 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=710855
• 关键词: Numerical; Modeling; Variability; Through; Mining

Natural resources are an endowment that all Canadians wish to preserve and develop in a sustainable and responsible manner. Of particular importance to Canada and local interest to Alberta are the oil sands of the McMurray Formation. Mining engineering has historically focused on understanding the reserves and economically optimal extraction of those reserves. The management of the material entering processing facilities is important, but the management of the waste streams is of increasing importance. There has to be room for the material in tailings ponds. Concentrations of contaminants, the size distribution of the solids, the strength of the material and other properties must be understood and managed. This calls on a wide cross section of engineering and other disciplines. This research lies in the interdisciplinary region between geoscientific characterization and engineering design: the quantification of geological variability and the transfer of that through the entire process. The focus of this proposal is the calculation of numerical models that are suitable for management of all input and output material streams in a mining operation. Site specific characteristics will be addressed including regulatory requirements, data collection, value of information, and optimization of planning to ensure all constraints are met. The anticipated outcomes of the proposal are primarily peer reviewed scholarly publications presenting methodologies for managing mined material through the entire process, improved multivariate geostatistical modeling techniques, case studies demonstrating multistream mine management and decision making under uncertainty. Equally important outcomes are the highly qualified students and researchers who will move into university positions, research labs and company settings to continue implementation and undertake further research. This research will be important to senior technical staff at mine operations, other researchers and government regulators. The innovative developments planned in this proposal will provide a framework for improved resource management, short and long term mine planning, and anticipating and mitigating against plant upsets. These developments will provide tangible economic benefits to mine operators and to Canada. The research will primarily benefit the mining industry; however, other industries such as the upstream oil and gas, environmental and hydrogeologic fields are likely to adapt certain results in research and application.

自然资源是所有加拿大人都希望以可持续和负责任的方式保护和开发的天赋资源。对加拿大和阿尔伯塔当地利益特别重要的是麦克默里组的油砂。采矿工程历来侧重于了解储量和经济上最佳的开采这些储量。进入加工设施的材料的管理很重要，但废物流的管理也越来越重要。 尾矿池中必须有足够的空间容纳这些材料。 必须了解和管理污染物的浓度、固体的粒度分布、材料的强度和其他特性。 这需要工程和其他学科的广泛交叉。 这项研究属于地质科学表征和工程设计之间的跨学科领域：地质变异性的量化和整个过程中的转移。 本提案的重点是计算适用于采矿作业中所有输入和输出物料流管理的数值模型。 将解决现场的具体特征，包括监管要求、数据收集、信息价值和规划优化，以确保满足所有约束条件。 该提案的预期成果主要是同行评审的学术出版物，介绍整个过程中管理开采材料的方法、改进的多元地质统计建模技术、展示多流矿山管理和不确定性下决策的案例研究。 同样重要的成果是高素质的学生和研究人员，他们将进入大学职位，研究实验室和公司环境，继续实施并进行进一步的研究。这项研究对矿山运营的高级技术人员、其他研究人员和政府监管机构都很重要。 本建议书中计划的创新发展将为改善资源管理、短期和长期采矿规划以及预测和缓解工厂故障提供一个框架。 这些发展将为采矿经营者和加拿大带来切实的经济利益。 该研究将主要受益于采矿业，但其他行业，如上游石油和天然气，环境和水文地质领域可能会在研究和应用中采用某些成果。