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X-WR-CALNAME:Canadian Mining Journal
X-ORIGINAL-URL:https://www.canadianminingjournal.com
X-WR-CALDESC:Events for Canadian Mining Journal
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TZID:America/Toronto
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DTSTART:20190310T070000
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DTSTART;TZID=America/Toronto:20190303T100000
DTEND;TZID=America/Toronto:20190306T170000
DTSTAMP:20260408T034943
CREATED:20190108T215844Z
LAST-MODIFIED:20190219T215505Z
UID:1003726393-1551607200-1551891600@www.canadianminingjournal.com
SUMMARY:Prospectors & Developers Association of Canada (PDAC) annual convention
DESCRIPTION:PDAC 2019: The World’s Premier Mineral Exploration & Mining Convention will take place March 3-6 at the Metro Toronto Convention Centre in Toronto\, Canada\, marking its 87th year. In addition to bringing together over 1\,000+ exhibitors\, 3\,500+ investors and 25\,000+ attendees from 135 countries\, it provides mineral and mining professionals\, as well as investors\, analysts\, geologists\, executives\, government officials and students\, access to an array of programming\, short courses\, presentations and unparalleled networking opportunities. For more information\, please visit www.pdac.ca/convention
URL:https://www.canadianminingjournal.com/event/untitledprospectors-developers-association-of-canada-pdac-annual-convention/
LOCATION:Metro Toronto Convention Centre\, 222 Bremner Blvd\, Toronto\, Ontario\, M5V 3L9\, Canada
CATEGORIES:Conference,Convention,Trade Show
ATTACH;FMTTYPE=image/jpeg:https://www.canadianminingjournal.com/wp-content/uploads/2019/01/PDAC-2019.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Denver:20190306T080000
DTEND;TZID=America/Denver:20190306T170000
DTSTAMP:20260408T034943
CREATED:20190307T145356Z
LAST-MODIFIED:20190307T145356Z
UID:1003727326-1551859200-1551891600@www.canadianminingjournal.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. False evaluations lead to devastating scenarios such as: \nAbandonment of viable properties\,\nExploitation of unprofitable properties\,\nMismanagement of viable properties\, and\nIncompetence in fraud detection. \nIt is critically important to quantify the heterogeneity of important constituents in any new property. Failure to do appropriate testing leads to invalid sampling and subsampling protocols\, excess drilling\, and a biased database that would later lead to false geostatistics. The following sequence is part of inescapable practice: \nHow is the constituent of interest distributed in the material to be sampled?\nConduct Heterogeneity Tests to quantify the sampling characteristics of the constituent of interest.\nOptimize sampling protocols and the way they are implemented\, according to the results from the Heterogeneity Test.\nImplement protocols using valid sampling equipment: 75% of the sampling equipment available on the market will never do the job.\nImplement a comprehensive\, systematic quality control program to monitor sampling precision and accuracy. \nThe staggering cost of data irrelevant variability is not easy to detect\, quantify\, or correct. A strategy for effective management of variability will enable managers to identify and minimize annoying conciliation problems between theoretical models and reality: Your decisions are only as good as your samples! \nThe course offers simple ways to quantify money losses for a given sampling precision\, and it provides a good strategy to prevent catastrophic sampling inaccuracy for which there is no statistical cure. Unless sampling precision and accuracy are clearly connected to economic issues\, it is unlikely that any manager would understand the reason for improving sampling protocols and the way they are implemented. At the end of the course\, the attendee will be better equipped to present the economic advantages of good sampling to company executives. Therefore\, the course is pre-requisite for bank investment: Bankers must listen\, and trust the Sampling Theory.
URL:https://www.canadianminingjournal.com/event/sampling-theory-sampling-practices-and-their-economic-impact-2/
LOCATION:Colorado School of Mines\, Golden\, CO\, United States
CATEGORIES:Courses
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DTSTART;TZID=America/Denver:20190306T080000
DTEND;TZID=America/Denver:20190306T170000
DTSTAMP:20260408T034943
CREATED:20190307T145508Z
LAST-MODIFIED:20190307T145508Z
UID:1003727324-1551859200-1551891600@www.canadianminingjournal.com
SUMMARY:Economic Evaluation and Investment Decision Methods
DESCRIPTION:This intensive 2½- or 4-Day course has been presented nearly 1\,025 times to more than 23\,500 people. Organized for managers\, engineers\, geologists\, landmen\, scientists\, accountants\, and others concerned with evaluating investments\, this course relates to the economic analysis of income producing and service producing investments using discounted cash flow analysis criteria and procedures. \nThe course covers economic analysis techniques used to optimize the development and operation of mining\, petroleum and non-natural resource production and processing operations. \nThe course textbook\, Economic Evaluation and Investment Decision Methods\, 16th Edition\, 2019 by Franklin J. Stermole\, John M. Stermole\, and Andrew H. Pederson\, demonstrates the evaluation techniques presented using a variety of applications for people with technical and non-technical backgrounds\, with or without previous evaluation experience.
URL:https://www.canadianminingjournal.com/event/economic-evaluation-and-investment-decision-methods-7/
LOCATION:Colorado School of Mines\, Golden\, CO\, United States
CATEGORIES:Courses
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