Phase I IUCRC at Colorado School of Mines: Center to Advance the Science of Exploration to Reclamation in Mining (CASERM)

科罗拉多矿业学院 IUCCRC 第一阶段：推进矿业复垦勘探科学中心 (CASERM)

• 批准号: 1822146
• 负责人: Thomas Monecke
• 金额: $ 75万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1822146&HistoricalAwards=false
• 关键词: Phase; IUCRC; Colorado; Mines; Center

Mining is intrinsic to modern society's transition to a sustainable existence. Meeting the global demand for earth resources represents a grand challenge. The Industry-University Cooperative Research Center for Advanced Subsurface Earth Resource Models is a collaborative effort between Colorado School of Mines, Virginia Tech, and industry partners. The Center's activities will transform the way geoscience data are used in the exploration and mining industry sector, beginning with the mineral exploration stage and continuing through mine closure and environmental remediation. Research activities of the Center will fundamentally change the way global exploration and mining of natural resources is done, replacing industry experience- and empiricism-based decisions with innovative science and technology-based solutions that inform decision making, increase the chances of exploration success, and reduce financial risk. The goals of the Center will promote socio-economic prosperity and help to reduce the environmental impact of mining. Workforce development is an essential component of the Center activities and will include graduate and undergraduate students, and industry employee participation in research activities and training opportunities. The Center will strengthen and promote cross-disciplinary discoveries in geophysics, geochemistry, mineralogy, computational science and statistics. Knowledge transfer to the geothermal industry sector will form one of the Center's key activities.The Center for Advanced Subsurface Earth Resource Models is focused on advancing the exploration/mining industry sector through a cooperative partnership conducting pre-competitive research and workforce development programs that benefit industry, academia, and society. The purpose and long-term vision of this Center is directed toward challenges in developing 3-D geologic models for mineral deposits, integrating diverse geoscience data, to inform decision making and minimize geological risk, beginning with locating and mining subsurface earth resources and continuing through mine closure and environmental remediation. Four research thrusts are envisioned: (1) development of geophysical and geochemical instrumentation, analysis, and interpretation methods for enhanced characterization of rock properties; (2) integration, scaling, and inversion of diverse geological, petrophysical, and geophysical data types of dissimilar spatial resolution and distribution to identify and characterize earth resources; (3) development of information methodologies for reducing risk associated with decision making; and (4) computational imaging and development of graphical and exploratory data analysis solutions and visualization tools. Achieving this broad vision requires interdisciplinary collaborations: Mines' expertise in economic geology, geochemistry, mineralogy, petrophysics, high performance computing, and applied mathematics, including geo-statistics, spatial statistics, inversion, and numerical methods, and strong traditional ties to mineral resource industry sectors will promote Center success.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

采矿是现代社会向可持续生存过渡所固有的。满足全球对地球资源的需求是一个巨大的挑战。先进地下地球资源模型产学研合作研究中心是弗吉尼亚理工大学科罗拉多矿业学院和行业合作伙伴之间的合作项目。该中心的活动将改变地球科学数据在勘探和采矿业部门的使用方式，从矿产勘探阶段开始，一直持续到矿山关闭和环境修复。该中心的研究活动将从根本上改变全球自然资源勘探和开采的方式，以创新的科学和技术为基础的解决方案取代基于行业经验和经验主义的决策，为决策提供信息，增加勘探成功的机会，并降低财务风险。该中心的目标将促进社会经济繁荣，并帮助减少采矿对环境的影响。劳动力发展是中心活动的重要组成部分，将包括研究生和本科生，以及行业员工参与研究活动和培训机会。该中心将加强和促进在地球物理学、地球化学、矿物学、计算科学和统计学方面的跨学科发现。该中心的主要活动之一是向地热行业传授知识。先进地下地球资源模型中心致力于通过合作伙伴关系推进勘探/采矿行业的发展，开展有利于工业、学术界和社会的竞争前研究和劳动力发展计划。该中心的目的和长期愿景是针对开发矿床三维地质模型的挑战，整合各种地球科学数据，为决策提供信息并最大限度地减少地质风险，从定位和开采地下地球资源开始，并继续通过矿山关闭和环境修复。展望了四个研究方向：（1）开发地球物理和地球化学仪器、分析和解释方法，以增强岩石性质的表征;（2）整合、缩放和反演具有不同空间分辨率和分布的各种地质、岩石物理和地球物理数据类型，以识别和表征地球资源;（3）开发信息方法，以减少与决策有关的风险;（4）计算成像和开发图形和探索性数据分析解决方案和可视化工具。实现这一广泛的愿景需要跨学科的合作：矿山在经济地质学、地球化学、矿物学、岩石物理学、高性能计算和应用数学（包括地质统计学、空间统计学、反演和数值方法）方面的专业知识，该奖项反映了NSF的法定使命，并被认为值得通过以下方式予以支持：使用基金会的知识价值和更广泛的影响审查标准进行评估。

项目成果

Textural characteristics of ore mineral dendrites in banded quartz veins from low-sulfidation epithermal deposits: implications for the formation of bonanza-type precious metal enrichment

低硫化浅成热液矿床带状石英脉中矿石矿物枝晶的结构特征：对富矿型贵金属富集形成的启示

• DOI: 10.1007/s00126-023-01187-7
• 发表时间: 2023
• 期刊: Mineralium Deposita
• 影响因子: 4.8
• 作者: Tharalson, Erik R.;Taksavasu, Tadsuda;Monecke, Thomas;Reynolds, T. James;Kelly, Nigel M.;Pfaff, Katharina;Bell, Aaron S.;Sherlock, Ross
• 通讯作者: Sherlock, Ross

Interpretation of Hyperspectral Shortwave Infrared Core Scanning Data Using SEM-Based Automated Mineralogy: A Machine Learning Approach

使用基于 SEM 的自动化矿物学解释高光谱短波红外岩心扫描数据：一种机器学习方法

• DOI: 10.3390/geosciences13070192
• 发表时间: 2023
• 期刊: Geosciences
• 影响因子: 2.7
• 作者: Rotem, Amit;Vidal, Alexander;Pfaff, Katharina;Tenorio, Luis;Chung, Matthias;Tharalson, Erik;Monecke, Thomas
• 通讯作者: Monecke, Thomas

Natural growth of gold dendrites within silica gels

金枝晶在硅胶内自然生长

• DOI: 10.1130/g48927.1
• 发表时间: 2023
• 期刊: Geology
• 影响因子: 5.8
• 作者: Monecke, Thomas;Reynolds, T. James;Taksavasu, Tadsuda;Tharalson, Erik R.;Zeeck, Lauren R.;Guzman, Mario;Gissler, Garrett;Sherlock, Ross
• 通讯作者: Sherlock, Ross