Phase I IUCRC at Virginia Tech: Center for Advanced Subsurface Earth Resource Models (CASERM)

弗吉尼亚理工大学 IUCCRC 第一阶段:高级地下地球资源模型中心 (CASERM)

基本信息

项目摘要

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 Virginia Tech, Colorado School of Mines, 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 the establishment of a cooperative partnership that conducts pre-competitive research and workforce development of benefit to industry, academia, and society. The purpose and long-term vision of this Center is directed toward research challenges in the development of 3-D subsurface geologic models for mineral deposits, integrating diverse geoscience data, to inform decision making and minimize geological risk. 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 of dissimilar spatial resolution and distribution to identify and characterize subsurface 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 collaborations from a broad range of disciplines. Virginia Tech's broad expertise in computational methods, high performance computing, mining engineering, fluids, seismic acquisition, imaging and inversion, tomographic imaging, and petrophysics combined with industry experience will allow for further mining-related advancements.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的内在因素。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成果。该中心的活动将改变地球科学数据在勘探和采矿行业的使用方式,从矿产勘探阶段开始,一直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,用基于创新科学和技术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。该中心的目标是促进社会经济繁荣,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地球物理、地球化学、矿物学、计算科学和统计学的跨学科发现。地热产业领域的知识转移是否会形成中心之一?S关键活动。先进地下地球资源模型中心致力于通过建立合作伙伴关系来推进勘探/采矿业部门,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。该中心的目的和长期愿景是针对矿床三维地下地质模型开发中的研究挑战,整合不同的地球科学数据,为决策提供信息并最大限度地降低地质风险。展望了四个研究重点:(1)发展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)对不同空间分辨率和分布的地质、岩石物理和地球物理数据进行整合、标化和反演,以识别和表征地下地球资源;(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。实现这一广阔的愿景需要来自广泛学科的合作。弗吉尼亚理工大学在计算方法、高性能计算、采矿工程、流体、地震采集、成像和反演、层析成像和岩石物理学方面的广泛专业知识,结合行业经验,将使采矿相关的进一步发展成为可能。该奖项反映了美国国家科学基金会的法定使命,并通过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,被认为值得支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Ground-Penetrating Radar for Karst Detection in Underground Stone Mines
  • DOI:
    10.1007/s42461-019-00144-1
  • 发表时间:
    2019-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jonathan Baggett;A. Abbasi;J. Monsalve;R. Bishop;N. Ripepi;J. Hole
  • 通讯作者:
    Jonathan Baggett;A. Abbasi;J. Monsalve;R. Bishop;N. Ripepi;J. Hole
Radar imaging of fractures and voids behind the walls of an underground mine
地下矿井墙后裂缝和空隙的雷达成像
  • DOI:
    10.1190/geo2020-0763.1
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Abbasi Baghbadorani, Amin;Hole, John A.;Baggett, Jonathan;Ripepi, Nino
  • 通讯作者:
    Ripepi, Nino
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Erik Westman其他文献

A Machine Learning Approach to Lithology Classification in Mining Using Measurement While Drilling and Exploration Data
  • DOI:
    10.1007/s42461-025-01286-1
  • 发表时间:
    2025-05-29
  • 期刊:
  • 影响因子:
    2.000
  • 作者:
    Gbétoglo Charles Komadja;Erik Westman;Aditya Rana;Anye Vitalis
  • 通讯作者:
    Anye Vitalis
Predicting rock mass strength from drilling data using synergistic unsupervised and supervised machine learning approaches
  • DOI:
    10.1007/s12145-025-01837-6
  • 发表时间:
    2025-03-12
  • 期刊:
  • 影响因子:
    3.000
  • 作者:
    Gbétoglo Charles Komadja;Erik Westman;Aditya Rana;Anye Vitalis
  • 通讯作者:
    Anye Vitalis
New time-lapse seismic tomographic scheme based on double-difference tomography and its application in monitoring temporal velocity variations caused by underground coal mining
基于双差层析成像的新型时移地震层析成像方案及其在地下采煤引起的时间速度变化监测中的应用
  • DOI:
    10.1093/gji/ggy404
  • 发表时间:
    2018-10
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Jiawei Qian;Haijiang Zhang;Erik Westman
  • 通讯作者:
    Erik Westman
An integrated relational database for tracking rock mass data during tunneling
  • DOI:
    10.1016/j.tust.2005.12.071
  • 发表时间:
    2006-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Jeramy B. Decker;Alfred Antony;Andrew Ray;Sotirios Vardakos;Michael M. Murphy;Matthew Mauldon;Joseph E. Dove;Marte Gutierrez;Doug Bowman;Erik Westman
  • 通讯作者:
    Erik Westman

Erik Westman的其他文献

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{{ truncateString('Erik Westman', 18)}}的其他基金

IUCRC Phase II+ Virginia Tech: Center to Advance the Science of Exploration to Reclamation in Mining (CASERM)
IUCRC 第二阶段弗吉尼亚理工大学:推进采矿复垦勘探科学中心 (CASERM)
  • 批准号:
    2310948
  • 财政年份:
    2023
  • 资助金额:
    $ 75万
  • 项目类别:
    Continuing Grant
EAGER: Forecasting Subsequent Seismicity using Double-Difference Tomography
EAGER:使用双差层析成像预测后续地震活动
  • 批准号:
    1051111
  • 财政年份:
    2010
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant
CAREER: Stress Redistribution Imaging for Rock Failure Prediction
职业:用于岩石破坏预测的应力重新分布成像
  • 批准号:
    0134034
  • 财政年份:
    2002
  • 资助金额:
    $ 75万
  • 项目类别:
    Standard Grant

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