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: 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=709951
• 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。它促进了原材料和金属的负责任提取，并支持新兴经济的发展需求，同时解决环境问题。人们普遍承认，主要不确定性会影响矿产资源的开发和利用，特别是供应（地质），技术（采矿，加工和环境）以及市场（商品价格，汇率）不确定性。 在这种情况下，我们正在进行的研究为矿山计划，设计和生产计划（SMPD）建立了一个新的随机建模和优化范式，该范式集中在单个矿山及其与生产有关的方面。结果包括：（a）一种用于量化供应不确定性的新的高级建模框架，称为高阶空间仿真以及基于多点和多尺度小波的基于地统计学模拟方法； （b）新的复杂随机矿山优化公式，包括其他几个方面，例如市场不确定性； （c）探索几种算法方法，以解决（a）和（b）中的主要计算问题；最后，（d）从既定的采矿区经济价值驱动的矿山优化方法转移到新的随机优化方法，这些方法仅考虑这些区块的地质/岩石特征，例如等级，材料类型和有害材料。我们的研究大纲的出版物对科学和工程的进步和贡献，以及矿产储量的可持续利用，通过更好的财务绩效通过社会责任以及技术上可以捍卫的客观决策。 拟议的5年研究计划旨在基于我们以前的发现，并研究需要在理解，知识和技术方面进一步发展的新研究领域。新的研究计划遵循我们随机SMPDS范式在“矿山生产到产品开发和市场交付”的更广泛背景下，并旨在明确包括主要的环境因素。随机模拟优化的不同方面包括开发全包含的随机供应 - 供需需求SMPDS优化框架以及高阶地理统计模拟框架的进一步发展，以量化SMPD中考虑的矿物资源的不确定性。