BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH CALSCALE:GREGORIAN PRODID:-//WordPress - MECv7.17.1//EN X-ORIGINAL-URL:https://snowdenoptiro.com/ X-WR-CALNAME:Snowden Optiro X-WR-CALDESC:Unlock Latent Value REFRESH-INTERVAL;VALUE=DURATION:PT1H X-PUBLISHED-TTL:PT1H X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VEVENT CLASS:PUBLIC UID:MEC-e809efcdedfd3421d6af8aa39f754f7b@snowdenoptiro.com DTSTART:20240514T010000Z DTEND:20240516T083000Z DTSTAMP:20240220T084100Z RDATE;VALUE=PERIOD:20240514T010000Z/20240516T083000Z CREATED:20240220 LAST-MODIFIED:20240312 PRIORITY:5 SEQUENCE:42 TRANSP:OPAQUE SUMMARY:Advanced Resource Estimation and Simulation – Vancouver & Online DESCRIPTION:\n\n\n\n\n\nTaking your resource estimation knowledge to the next level.\n\n\n\nCourse presenter: Clementine Clark – Principal Consultant\n\n\nThis practical 3-day Advanced Resource Estimation course shows you how and when to apply techniques such as co-kriging, multiple indicator kriging, conditional simulation and change of support. Each attendee will receive a FREE temporary Supervisor software license.\nThe course covers the following topics:\n\nA refresher of kriging\nOverview of kriging approaches: Ordinary, Simple, Indicator, Cokriging – when are they useful and applicable?\nThe dispersion variance and the change of support\nHow we predict the mining tonnage-grade curve from sample data – global change of support\nHow we predict the tonnage-grade curves of mining blocks from large block estimates\nThe differences between global and local changes of support\nWhat is non-linear estimation and when is it useful?\nWhat is a recoverable resource? Recoverable resource techniques\nHow we assess grade risk in mining\nConditional simulation of single variables (univariate) and multiple variables\nWhat is multivariate simulation and why is it useful?\nCategorical simulation for rock\n\nThis course addresses some of the key issues in mining and mineral resource estimation, and covers many ways to get more out your grade and geological data. Following a review and refresher of the kriging equations, we look at the various flavours of kriging and when they are applicable. The particular advantages of non-linear kriging approaches such as single and multiple indicator kriging are covered.\nAn overview of the concept of the dispersion variance leads onto a consideration of recoverable resources – that is, predicting the tonnage and grade available at the time of mining, either from the sample data (a global change of support) or from a large block estimate (local change of support). The three main recoverable resource techniques – uniform conditioning (including local uniform conditioning), multiple indicator kriging and conditional simulation – are covered in detail.\nWe consider the concept of assessing grade and geological risk through simulation and provide an overview of the more popular and applicable simulation techniques, including sequential gaussian simulation, sequential indicator simulation, turning bands, and others. Simulation of geological features is addressed via a consideration of categorical simulation. Finally, the simulation of multiple variables is covered, looking at the most applicable multivariate simulation techniques.\nThroughout the course, concepts and best practice are illustrated via the use of activities which use GSLIB-style software and Supervisor software on real-world datasets – all course software supplied by Snowden Optiro.All attendees receive a free temporary Supervisor software licence.\n\n\nDuration (in days)\n\n\n3\nPrice in CA Dollars\nIn-house /Online or Onsite training is a cost-effective way of getting your whole team trained.Please contact us for a quote or further information: training@snowdenoptiro.com ( mailto:training@snowdenoptiro.com )\nContact us for further details\n \n \n \n \n \n \n \n \n Get a quote \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n Afghanistan\n Aland Islands\n Albania\n Algeria\n Andorra\n Angola\n Anguilla\n Antarctica\n Antigua and Barbuda\n Argentina\n Armenia\n Aruba\n Australia\n Austria\n Azerbaijan\n Bahamas\n Bahrain\n Bangladesh\n Barbados\n Belarus\n Belgium\n Belize\n Benin\n Bermuda\n Bhutan\n Bolivia, Plurinational State of\n Bonaire, Sint Eustatius and Saba\n Bosnia and Herzegovina\n Botswana\n Bouvet Island\n Brazil\n British Indian Ocean Territory\n Brunei Darussalam\n Bulgaria\n Burkina Faso\n Burundi\n Cambodia\n Cameroon\n Canada\n Cape Verde\n Cayman Islands\n Central African Republic\n Chad\n Chile\n China\n Taiwan\n Christmas Island\n Cocos (Keeling) Islands\n Colombia\n Comoros\n Congo\n Congo, the Democratic Republic of the\n Cook Islands\n Costa Rica\n Cote d’Ivoire\n Croatia\n Cuba\n Curaçao\n Cyprus\n Czech Republic\n Denmark\n Djibouti\n Dominica\n Dominican Republic\n Ecuador\n Egypt\n El Salvador\n Equatorial Guinea\n Eritrea\n Estonia\n Ethiopia\n Falkland Islands (Malvinas)\n Faroe Islands\n Fiji\n Finland\n France\n French Guian\n French Polynesia\n French Southern Territories\n Gabon\n Gambia\n Georgia\n Germany\n Ghana\n Gibraltar\n Greece\n Greenland\n Grenada\n Guadeloupe\n Guatemala\n Guernsey\n Guinea\n Guinea-Bissau\n Guyana\n Haiti\n Heard Island and McDonald Islands\n Holy See (Vatican City State)\n Honduras\n Hungary\n Iceland\n India\n Indonesia\n Iran, Islamic Republic of\n Iraq\n Ireland\n Isle of Man\n Israel\n Italy\n Jamaica\n Japan\n Jersey\n Jordan\n Kazakhstan\n Kenya\n Kiribati\n Korea, Democratic People’s Republic of\n Korea, Republic of\n Kuwait\n Kyrgyzstan\n Lao People’s Democratic Republic\n Latvia\n Lebanon\n Lesotho\n Liberia\n Libya\n Liechtenstein\n Lithuania\n Luxembourg\n Macao\n Macedonia, the former Yugoslav Republic of\n Madagascar\n Malawi\n Malaysia\n Maldives\n Mali\n Malta\n Martinique\n Mauritania\n Mauritius\n Mayotte\n Mexico\n Moldova, Republic of\n Monaco\n Mongolia\n Montenegro\n Montserrat\n Morocco\n Mozambique\n Myanmar\n Namibia\n Nauru\n Nepal\n Netherlands\n New Caledonia\n New Zealand\n Nicaragua\n Niger\n Nigeria\n Niue\n Norfolk Island\n Norway\n Oman\n Pakistan\n Palestine\n Panama\n Papua New Guinea\n Paraguay\n Peru\n Philippines\n Pitcairn\n Poland\n PortugalPT\n Qatar\n Reunion\n Romania\n Russian Federation\n Rwanda\n Saint Barthélemy\n Saint Helena, Ascension and Tristan da Cunha\n Saint Kitts and Nevis\n Saint Lucia\n Saint Martin (French part)\n Saint Pierre and Miquelon\n Saint Vincent and the Grenadines\n Samoa\n San Marino\n Sao Tome and Principe\n Saudi Arabia\n Senegal\n Serbia\n Seychelles\n Sierra Leone\n Singapore\n Sint Maarten (Dutch part)\n Slovakia\n Slovenia\n Solomon Islands\n Somalia\n South Africa\n South Georgia and the South Sandwich Islands\n South Sudan\n Spain\n Sri Lanka\n Sudan\n Suriname\n Svalbard and Jan Mayen\n Swaziland\n Sweden\n Switzerland\n Syrian Arab Republic\n Tajikistan\n Tanzania, United Republic of\n Thailand\n Timor-Leste\n Togo\n Tokelau\n Tonga\n Trinidad and Tobago\n Tunisia\n Turkey\n Turkmenistan\n Turks and Caicos Islands\n Tuvalu\n Uganda\n Ukraine\n United Arab Emirates\n United Kingdom\n United States\n Uruguay\n Uzbekistan\n Vanuatu\n Venezuela, Bolivarian Republic of\n Vietnam\n Virgin Islands, British\n Wallis and Futuna\n Western Sahara\n Yemen\n Zambia\n Zimbabwe\n \n \n \n \n \n \n \n \n Course \n \n \n \n \n 1-day Advanced Excel Skills - Kriging & Simulation\n 1-day Beyond Drill Spacing - Mineral Resource classification\n Advanced Resource Estimation and Simulation 3-days\n Applicaciones del modelo de variograma 3 x 2-hour online sessions\n Corporate Compliance in Resource and Reserve Reporting for the Australian Market 1-day\n Decision Analysis for Mining Investments 2 x 3-hour online training sessions\n Economic Evaluation of Mineral Deposits 2 x 3-hour training sessions\n Essential Excel Skills for Geologists 1-day\n Geology for Non-Geologists 1-day\n Geostatistics in Coal Estimation, Classification and Reporting 2 x 3-hour online training sessions\n Getting the most out of QAQC Data 2-days\n Grade Control and Sampling for Mine and Field Technicians 1-day\n Introduccion a la Simulacion Conditional 3 x 2-hour online sessions\n Introduction to Multivariate Conditional Simulation 4-hours\n Long Term Mine Planning 4 x 3-hour online training sessions\n Mining and Geology for Non-Miners 1-day\n Mining for Non-Miners 1-day\n Optimizacion de Parametros de Estimacion 3 x 2-hour online sessions\n Practical Variography using Supervisor 1-day\n Productivity and Business Improvement 2 x 3-hour online training sessions\n Reconciliation – getting it right the first time 1-day\n Report Writing for Geologists and Engineers 1-day\n Resource Estimation and Evaluation 5-days\n Sampling Theory and Best Practice 1-day\n Successful Sampling and QAQC of Assay Data 2-days\n Supervisor Fundamentals 1-day\n Understanding Mineral Processing for Non-Metallurgists 1-day\n \n \n \n \n \n \n \n \n \n \n \n By ticking the box, you acknowledge that you have read, understood and agreed to the Training Terms and Conditions \n \n \n \n \n \n Send\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n URL:https://snowdenoptiro.com/events/advanced-resource-estimation-and-simulation-vancouver/ ORGANIZER;CN=Snowden Optiro:MAILTO: LOCATION:North America ATTACH;FMTTYPE=image/svg+xml:https://offload-cdn-snop.sgp1.cdn.digitaloceanspaces.com/wp-content/uploads/2024/02/Advanced-Resource-Estimation-and-Simulation-Vancouver.svg END:VEVENT END:VCALENDAR