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新的监管环境下矿产资源及其不确定性的地质统计学评价

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1 引言

《新的监管环境下矿产资源及其不确定性的地质统计学评价(Geostatistical Evaluation of Mineral Resources and Their Uncertainty Under the New Regulatory Environment)》短期课程将于2022年9月26~30日在加拿大麦吉尔大学(McGill University)采矿和材料工程系开班授课,课程指导老师是加拿大SRK Consulting的David F. Machuca和麦吉尔大学的Roussos Dimitrakopoulos,本课程旨在展示最先进的统计和地质统计技术如何帮助以客观和可重复的方式回答关于矿产资源公开报告的最新法规要求。

2 课程目的
本课程特别强调通过矿产资源估算过程了解各种不确定性和误差的来源,以及如何通过应用矿产资源分类的定量和定性标准来表征地质。在工程模拟学科的大背景下,本课程全面介绍了矿产资源模拟的行业最佳实践。本课程适用于勘探和矿山地质学家、资源分析学家、采矿工程师以及相关领域的管理人员。 通过本课程学员可以学习到以下内容:
(1) 如何构思和制作能满足矿业公司短期和长期需求的矿产资源模型
(2) 如何从数据的统计分析中提取地质观点
(3) 矿产资源建模过程中不同阶段的误差和不确定性的来源
(4) 不同估计和模拟方法的优点和局限性
(5) 如何将成矿的地质控制知识纳入矿产资源的工作流程中
(6) 如何验证和核对矿产资源估算值
(7) 如何按照NI43-101、SEC矿业披露规则和JORC的标准交流矿产资源估计值及其可信度
(8) 条件模拟的各种用途,如量化矿产资源的不确定性和信息研究的价值、战略矿山规划和项目评估等
(9) 如何将矿体模拟纳入采矿规划
3 课程内容

(1) The Practice of Mineral Resources Estimation Within the Context of the New Regulatory Environment

  • Resource models and the mining business cycle
  • Meeting the definition of mineral resources and mineral reserves
  • International standards for public reporting
  • The place of geological uncertainty in mineral resources reporting

(2) Mineral Resources Modelling Within the Context of Scientific and Engineering Modelling
  • Scientific and engineering modelling as a discipline
  • Uncertainty and error
  • Computer simulation
(3) The Data and Information Bases
  • Geological data acquisition
  • Elements of sampling theory
  • Quality Assurance and Quality Control

(4) Resource Model Design and Fundamentals
  • Stationarity, heterogeneity, spatial dependence
  • The random field paradigm
  • The support effect
  • Short vs. long term models
  • Designing an effective resource modelling process
  • Incorporating geological controls of mineralization beyond 3D wireframing
(5) The Geo-spatial Modelling Framework
  • The geological setting
  • Geological interpretation and modelling
  • Coordinate transformations
  • Resource domains and trends

(6) Data Analysis for Resource Modelling
  • Representative statistics in a geological context
  • Univariate and multivariate statistical characterization
  • Comparative statistics for different domains and data types
  • Identification and treatment of outliers
(7) Modelling the Spatial Continuity
  • Measures of spatial continuity in a geological context
  • Interpretation and modelling of variograms
  • Spatial continuity and change of support

(8) Estimation
  • Estimation is more than interpolation
  • From point to block estimation
  • Modern estimation methods
  • Multivariate estimation
  • Conditional bias and design of the estimation plan
  • Validation of estimated models
(9) Simulation
  • From estimation to simulation
  • Simulation methods for categorical and continuous variables
  • Multivariate simulations
  • Validation of simulated models
  • Post-processing and application of simulated models y 
  • Quantitative geological uncertainty assessment
  • Introduction to Value of Information studies

(10) Mineral Resources Classification and Reporting
  • Definitions

  • Integrating quantitative and qualitative classification criteria

  • The role of geological uncertainty in classification 

  • Best practices and applications of technical and economic constraints

(11) Use of Simulations in Mine Planning
  • Integrating geological uncertainty to production planning and risk quantification
  • Less risk and higher value
  • Geological risk in mineral value chain optimization

(12) Special Topics
  • The information effect
  • Reconciliation
  • Modelling of geotechnical and geometallurgical variables


来源:计算岩土力学
材料控制
著作权归作者所有,欢迎分享,未经许可,不得转载
首次发布时间:2022-12-02
最近编辑:1年前
计算岩土力学
传播岩土工程教育理念、工程分析...
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