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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:Europe/Helsinki
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DTSTART:20170326T010000
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DTSTART:20171029T010000
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DTSTART:20170312T090000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20170625
DTEND;VALUE=DATE:20170701
DTSTAMP:20260409T160333
CREATED:20161116T132948Z
LAST-MODIFIED:20161116T132948Z
UID:1003716003-1498348800-1498867199@www.canadianminingjournal.com
SUMMARY:IMWA 2017 Congress - Mine Water & Circular Economy
DESCRIPTION:International Mine Water Association (IMWA) provides a forum for international discussion on mine water and mine drainage issues. The IMWA 2017 congress theme is Mine Water & Circular Economy. Related to mine water\, this means that mining wastes and mine water are used to extract valuable materials\, such as metals\, fertilizers or adsorbents for waste water purification. The congress will also focus on the experience that mining companies\, researchers and stakeholders have gained in highly vulnerable northern environments. There will be nine main topics in the Congress\, so that we can cover the mine water field thoroughly. For more information www.IMWA2017.info.
URL:https://www.canadianminingjournal.com/event/imwa-2017-congress-mine-water-circular-economy/
LOCATION:Holiday Club Saimaa\, Rauhanrinne 1\, Lappeenranta\, 55320 Rauha\, Finland
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://www.canadianminingjournal.com/wp-content/uploads/2016/11/IMWA-logo.png
ORGANIZER;CN="Lappeenranta%20University%20of%20Technology%20%28LUT%29":MAILTO:info@lut.fi
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DTSTART;TZID=America/Denver:20170627T080000
DTEND;TZID=America/Denver:20170629T120000
DTSTAMP:20260409T160333
CREATED:20161214T165311Z
LAST-MODIFIED:20161214T165311Z
UID:1003716365-1498550400-1498737600@www.canadianminingjournal.com
SUMMARY:Recycling Metals from Industrial Waste
DESCRIPTION:Recycling Metals from Industrial Waste\, now in its 25th year\, focuses on current plant practices to convert metal containing wastes to products. Processors\, raw materials\, and markets are identified and quantified. Speakers with decades of hands-on experience detail multiple approaches to recycling metals and associated materials — backed up by slides\, videos\, and the syllabus. \nParticular emphasis is given to combinations of physical\, hydrometallurgical\, and pyrometallurgical processing\, along with associated regulations\, to facilitate economical recycling. The presentations are on a practical level\, focusing on plant operations\, with ample opportunity for interaction by the course participants.
URL:https://www.canadianminingjournal.com/event/recycling-metals-industrial-waste/
LOCATION:Colorado School of Mines\, Golden\, CO\, United States
CATEGORIES:Courses
ATTACH;FMTTYPE=image/jpeg:https://www.canadianminingjournal.com/wp-content/uploads/2016/12/recycling-metals.jpg
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20170628
DTEND;VALUE=DATE:20170630
DTSTAMP:20260409T160333
CREATED:20170323T124431Z
LAST-MODIFIED:20170323T124431Z
UID:1003717690-1498608000-1498780799@www.canadianminingjournal.com
SUMMARY:“Mass Balancing and Inference” Short Course
DESCRIPTION:In order to optimize a mineral processing plant there are nine steps required:\n1. Collect data (measurement)\n2. Collate data (into a database)\n3. Flowsheeting\n4. Mass Balance\n5. Inference\n6. Determine Operational Parameter\n7. Model fit\n8. Simulate\n9. Optimize\nMass balancing is often taught using least squares minimization. Inference is generally not taught and in the absence of inference\, model fitting is rendered very difficult\, which is why mineral processing simulation is generally much more difficult than it should be.\nIn this course we focus on mass balancing and inference. Whilst mass balancing is taught initially from a conventional least squares minimization approach\, the course then discusses a probabilistic or information theory approach. Information theory is a relatively new area of mathematics which is only available to participants through this course. By using information theory one can infer ore properties at each stream in great depth (i.e. multi-mineral particle distributions); thereby providing the basis for later steps (particularly modelfitting).
URL:https://www.canadianminingjournal.com/event/mass-balancing-inference-short-course-2/
LOCATION:Calgary
CATEGORIES:Training
ATTACH;FMTTYPE=image/jpeg:https://www.canadianminingjournal.com/wp-content/uploads/2017/03/CMP-2016.jpg
ORGANIZER;CN="OreVenture%20Training%20and%20Technical%20Services":MAILTO:info@oreventure.com
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