Development of GIS technology and singularity-based nonlinear theories for prediction of mineral deposit

GIS技术和基于奇点的非线性矿床预测理论的发展

• 批准号: RGPIN-2015-03698
• 负责人: Cheng, Qiuming
• 金额: $ 1.97万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=681813
• 关键词: Development; GIS; technology; singularity; based

Mineral resources are essential for sustainable development of most nations. The increasing demand for mineral resources is driving exploration and production into frontier regions such as areas covered by glacial sediments, colluvium and alluvium, water, desert and vegetation that conceal a resource from recognition. Prediction of mineral resources and mineral exploration in covered areas faces multiple problems imposed by the cover. To understand the primary mineralization, the secondary ore element dispersion in covers over mineral deposits and formation of anomalies in the surface media are fundamental questions for developing better and more powerful deep-penetrating methods and exploration technologies. However, there is still no coherent protocol for estimating the possibility and probability of undiscovered mineral resources beneath cover. ***The newly developed theories and methods of geocomplexity have provided powerful tools for charactering extreme geo-processes such as earthquakes, hurricanes and mineralization. Studies have demonstrated that these singular processes may result in anomalous amounts of energy release or mass accumulation that, generally, are confined to narrow intervals in time or space. High resolution maps and data created by modern geophysical, geochemical and remote sensing technologies have significantly increased the possibility for scientists to map the responses of singular events on the earth surface. The Canadian Government has invested and will continue to invest 200 million dollars to support the Geo-mapping for Energy and Minerals (GEM from 2008-2020) project to produce vast amount of data to support increased exploration of natural resources in the North. Recent development and applications of new scale-invariant filtering methods developed by the applicant based on nonlinear theory have shown good potential for processing big data for prediction of mineral deposits. ***The main objective of this proposal is to develop new nonlinear theory and GIS techniques for predicting location of undiscovered mineral deposits in regions covered by transported glacial sediments and regolith. The main task is to develop and apply: (1) New mathematical models for modelling formation of anomalies of element concentration in media over mineral deposits due to upward migration of multiplicative cascade mechanisms; (2) Novel information technologies based on self-similarity theory for mineralization-associated weak and complex anomalies extraction from geochemical, geophysical and remotely sensed data; and (3) New technologies based on multiplicative cascade processes and spatial decision modelling processes for integrating diverse geoinformation in support of predicting undiscovered mineral deposits in covered areas. The case studies will focus on copper-gold-silver deposits in the Abitibi district of northern Ontario, Canada.

矿产资源对于大多数国家的可持续发展至关重要。对矿产资源日益增长的需求正在推动勘探和生产进入前沿地区，例如被冰川沉积物、崩积层和冲积层、水、沙漠和植被覆盖的地区，这些地区隐藏着资源，无法被识别。覆盖区域的矿产资源预测和矿产勘探面临着覆盖带来的多重问题。为了了解原生矿化作用，次生矿元素在矿床覆盖层中的分散情况以及地表介质中异常的形成是发展更好、更强大的深部穿透方法和勘探技术的基本问题。然而，仍然没有一致的协议来估计地下未发现矿产资源的可能性和概率。 ***新发展的地质复杂性理论和方法为表征地震、飓风和矿化等极端地质过程提供了有力的工具。研究表明，这些奇异过程可能会导致异常量的能量释放或质量积累，而这些能量释放或质量积累通常仅限于时间或空间的狭窄间隔内。现代地球物理、地球化学和遥感技术创建的高分辨率地图和数据大大增加了科学家绘制地球表面奇异事件响应的可能性。加拿大政府已经并将继续投资2亿美元来支持能源和矿产地理测绘（GEM，2008-2020）项目，以产生大量数据，支持增加对北方自然资源的勘探。申请人基于非线性理论开发的新型尺度不变滤波方法的最新发展和应用显示出处理大数据以预测矿床的良好潜力。 ***本提案的主要目标是开发新的非线性理论和 GIS 技术，用于预测被迁移的冰川沉积物和风化层覆盖的区域中未发现矿藏的位置。主要任务是开发和应用：（1）新的数学模型，用于模拟由于乘法级联机制向上迁移而形成的矿床介质中元素浓度异常的形成； (2) 基于自相似理论的新型信息技术，从地球化学、地球物理和遥感数据中提取与矿化相关的弱复杂异常； (3) 基于乘法级联过程和空间决策建模过程的新技术，用于整合不同的地理信息，以支持预测覆盖区域中未发现的矿藏。案例研究将重点关注加拿大安大略省北部阿比蒂比地区的铜金银矿床。