New technology contributions to the sustainable development of mineral resources: Developing a holistic stochastic simulation – optimization paradigm

新技术对矿产资源可持续发展的贡献：开发整体随机模拟→优化范式

• 批准号: RGPIN-2016-05760
• 负责人: Dimitrakopoulos, Roussos
• 金额: $ 3.64万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=615886
• 关键词: New; technology; contributions; sustainable; development

The sustainable development of Earth’s mineral resources is critical for society; it promotes the responsible extraction of raw materials and metals and supports the developmental needs of emerging economies while simultaneously addressing environmental concerns. It is widely acknowledged that major uncertainties affect the development and utilization of mineral resources, particularly from supply (geology), technical (mining, processing and environment), and market (commodity prices, exchange rates) uncertainty. Within this context, our ongoing research has established a new stochastic modelling and optimization paradigm for mine planning, design, and production scheduling (SMPDS) that has focused on single mines and their production-related aspects. Outcomes include: (a) a new advanced modelling framework for quantifying supply uncertainty, termed high-order spatial simulation as well as multi-point and multi-scale wavelet based geostatistical simulation methods; (b) new complex stochastic mine optimization formulations that include several other aspects, such as market uncertainties; (c) exploration of several algorithmic approaches to address the major computational issues in (a) and (b); and lastly, (d) shifting from the established mining block economic-value-driven mine optimization approaches to new stochastic optimization methods that consider only the geological/rock characteristics of these blocks, such as grades, material types and deleterious materials. Our publications from this research outline advances and contributions to science and engineering, as well as the sustainable utilization of mineral reserves, social responsibility through better financial performance, and technically defendable objective decision-making. The proposed 5-year research program aims to build upon our previous findings, as well as investigate new research areas that require further developments in understanding, knowledge, and technology. The new research program follows our stochastic SMPDS paradigm in the broader context of “mine production to product development and market delivery”, and aims to explicitly include major environmental elements. The different aspects of a stochastic simulation-optimization include the development of an all-inclusive stochastic supply-meets-demand SMPDS optimization framework and the further development of the high-order geostatistical simulation framework, as needed to quantify the uncertainty of mineral resources considered in SMPDS.

地球矿产资源的可持续发展对社会至关重要；它促进负责任地开采原材料和金属，支持新兴经济体的发展需求，同时解决环境问题。人们普遍认为，重大不确定性影响矿产的开发和利用。资源，特别是来自供应（地质）、技术（采矿、加工和环境）和市场（商品价格、汇率）的不确定性。 在此背景下，我们正在进行的研究为矿山规划、设计和生产调度（SMPDS）建立了一种新的随机建模和优化范例，重点关注单个矿山及其生产相关的方面，成果包括：（a）新的先进的。 (b) 新的复杂随机矿山优化公式，包括市场不确定性等其他几个方面； (c) 探索几种算法方法来解决 (a) 和 (b) 中的主要计算问题；最后，(d) 从既定的采矿区块经济价值驱动的矿山优化方法转向考虑到新的随机优化方法我们的出版物仅介绍这些区块的地质/岩石特征，例如品位、材料类型和有害材料，概述了对科学和工程的进步和贡献，以及矿产储量的可持续利用、通过更好的财务业绩承担社会责任。 ，以及技术上可辩护的客观决策。 拟议的 5 年研究计划旨在以我们之前的发现为基础，并调查需要进一步发展理解、知识和技术的新研究领域。新的研究计划遵循我们在更广泛的“矿山”背景下的随机 SMPDS 范式。生产到产品开发和市场交付”，旨在明确包括随机模拟优化的不同方面，包括开发全面的随机供需 SMPDS 优化框架以及进一步开发随机模拟优化。高阶地质统计模拟框架，根据需要量化 SMPDS 中考虑的矿产资源的不确定性。