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X-WR-CALDESC:Events for The Northern Miner
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DTSTART;TZID=America/Denver:20171009T080000
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DTSTAMP:20260404T071215
CREATED:20161216T174429Z
LAST-MODIFIED:20161219T151355Z
UID:1003781736-1507536000-1507914000@secure.northernminer.com
SUMMARY:Sampling Theory\, Sampling Practices\, and Their Economic Impact
DESCRIPTION:Poor sampling\, compounded by poor laboratory subsampling\, leads to questionable geostatistics\, and generates severe conciliation problems between the geological model\, the mine\, and the plant estimates. These problems also affect the price of commodities and the validity of environmental assessments. The result is a huge money loss for the company involved\, evolving later in likely litigation. It is of key importance for geologists\, miners\, metallurgists\, chemists\, and environmental specialists to extract maximum information from the available data\, as large investments and crucial decisions depend on it.
URL:https://secure.northernminer.com/event/sampling-theory-sampling-practices-economic-impact/
LOCATION:Colorado School of Mines\, 80401
CATEGORIES:Course
ATTACH;FMTTYPE=image/png:https://secure.northernminer.com/wp-content/uploads/2016/12/sampling.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20171010
DTEND;VALUE=DATE:20171014
DTSTAMP:20260404T071215
CREATED:20170503T202002Z
LAST-MODIFIED:20170503T202002Z
UID:1003786001-1507593600-1507939199@secure.northernminer.com
SUMMARY:Geostatistical Mineral Resource Estimation and Meeting the New Regulatory Environment: Step by step from sampling to grade control
DESCRIPTION:Instructors: Marcelo Godoy\, Newmont Mining Corporation\, USA; Roussos Dimitrakopoulos\, McGill University\, Canada; and Guy Desharnais\, SGS Canada Inc.\, Canada \nContent and Objectives\nThis course is designed according to the latest regulations on public reporting of Mineral Resources. It aims at showing how state-of-the-art statistical and geostatistical techniques help answering the requirements of those regulations in an objective and reproducible manner. A particular emphasis is put on understanding sampling and estimation errors and how to assign levels estimation confidence through the application of resource classification fundamentals. In addition to a solid introduction to mining geostatistics this course provides a comprehensive overview of industry’s best practices in the broader field of Mineral Resource estimation. \nAttendees will learn:\n• How to use statistical inference to identify problems with the data\n• How to produce models that address the needs of mining companies\n• Compliance with NI43-101\, SEC Industry Guide 7 and JORC\n• Effective workflows from data preparation to resource classification\n• How to validate\, reconcile and communicate resource estimation results\n• The fundamentals of resource classification and how to apply them in practice\n• How to produce auditable and reproducible resource estimates\n• Estimation of grade control models and best practices in ore selection\n• How to leverage costly geometallurgical testing to reduce risk\n• How to use conditional simulations to quantify uncertainty in resource estimates\n• How to integrate orebody simulations into mine planning \nTo register or for more information please contact:\nDeborah Frankland\nCanada Research Chair and Laboratory Administrator\nCOSMO – Stochastic Mine Planning Laboratory\nDepartment of Mining and Materials Engineering\nMcGill University\nFrank Dawson Adams Building\, Room 123A\n3450 University Street\nMontreal\, Quebec H3A 0E8\nCanada\nTel.: (514) 398-5461\nE-mail: admcrc.mining@mcgill.ca
URL:https://secure.northernminer.com/event/geostatistical-mineral-resource-estimation-meeting-new-regulatory-environment-step-step-sampling-grade-control/
LOCATION:McGill University – COSMO Stochastic Mine Planning Laboratory\, 3450 University Street\, Montreal\, Quebec\, H3A0E8\, Canada
CATEGORIES:Course
ORGANIZER;CN="COSMO Stochastic Mine Planning Laboratory":MAILTO:admcrc.mining@mcgill.ca
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