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UID:MEC-152c97a9bb6f2ababc2c73a46cfef7a3@snowdenoptiro.com
DTSTART:20260525T010000Z
DTEND:20260529T083000Z
DTSTAMP:20230302T153400Z
CREATED:20230302
LAST-MODIFIED:20260311
PRIORITY:5
SEQUENCE:79
TRANSP:OPAQUE
SUMMARY:Advanced Resource Estimation and Simulation – Perth & Online
DESCRIPTION:\n\n\n\n\n\nTaking your resource estimation knowledge to the next level\n\n\n\nCourse presenter: Ian Glacken – Executive Consultant; Dr Gregory Zhang – Senior Consultant; Kahan Cervoj – Executive Consultant\nAdvanced Resource Estimation and SimulationTaking your resource estimation knowledge to the next level\nThis 5-day, hands-on course is designed for geologists and resource professionals looking to deepen their understanding of advanced resource estimation techniques and simulation.Building on the foundational knowledge from our Resource Estimation – Fundamentals course, this program focuses on practical applications and uses real-world dataset.\nYou’ll explore how and when to apply key change of support techniques such as uniform conditioning, multiple indicator kriging, and conditional simulation. The course combines theory with guided exercises using GSLIB-style tools and Supervisor software (a free temporary licence is provided to all attendees for the training).\nKey topics include:\n\nA refresher on kriging fundamentals\nOverview of kriging methods: Ordinary, Simple, Indicator – where and why each method is useful\nNon-linear estimation: when it matters and how to apply it\nThe concept of dispersion variance and change of support\nPredicting the mining tonnage-grade curve from sample data (global change of support)\nPredicting block tonnage-grade curves from large block estimates (local change of support)\nUnderstanding recoverable resources and the main techniques:\n\nUniform conditioning (including local uniform conditioning)\nMultiple indicator kriging\nConditional simulation\n\n\nAssessing grade and geological risk through simulation\nOverview of popular simulation techniques:\n\nSequential Gaussian Simulation\nSequential Indicator Simulation\nTurning Bands\n\n\nCategorical simulation for geological features (e.g. rock types)\nMultivariate simulation – how and why it’s used\nDrillhole spacing analysis with linear and non-linear methods\nPractical insights into applying machine learning to resource modelling\nCase studies demonstrating real-world application of estimation and simulation methods\n\nThroughout the course, you’ll work with both provided datasets and (optionally) your own, allowing for tailored insights and practical demonstrations. If you’d like to use your dataset, we recommend submitting it in advance so the course presenter can review it beforehand.\nThis course is ideal for professionals seeking to strengthen their geostatistical toolkit, better understand uncertainty, and gain more from their data—whether you’re tackling complex deposits or looking to refine your current resource models.\n\n\nDuration (in days)\n\n\n5\nPrice in AU 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\nOpen-Book Post-Course Assessment Exam\nAs part of your course package, you have the option to take an open-book post-training course assessment exam at no additional cost. This is a valuable opportunity for you to reinforce your learning and demonstrate your understanding of the course material, and for you to add to your professional portfolio.Key Points:Open-Book Exam: You can use your course materials during the exam to assist you.No Extra Cost: The exam is included in the price you have already paid for the course.Graded Certificate: Upon successful completion, you will receive a graded Certificate of Assessment, showcasing your achievement.\nWe encourage you to take advantage of this opportunity to earn your Certificate of Assessment, which can be a great addition to your professional portfolio.\nBenefits for Attendees:\n\nReinforced Learning: The assessment provides a structured opportunity to review and reinforce the knowledge gained during the course, solidifying key concepts and techniques.\nPractical Application: As an open-book exam, it encourages the practical application of course materials, allowing participants to demonstrate their ability to reference and utilise resources effectively in real-world scenarios.\nProfessional Recognition: Earning a graded Certificate of Assessment enhances the attendee’s professional portfolio, providing a tangible credential that reflects commitment to continuous learning and expertise in the subject matter.\nConfidence Building: Successfully completing the assessment can boost confidence in the subject area.\n\nBenefits for Managers:\n\nVerification of Competency: The assessment allows managers to confirm that their team members have not only attended the course but also comprehended and can apply the knowledge gained.\nInformed Decision-Making: The results of the assessment can help managers identify areas where further training might be needed, enabling more targeted professional development strategies.\nIncreased ROI: By encouraging participation in the assessment, managers ensure a higher return on investment for the training, as employees are more likely to retain and apply the knowledge effectively.\nTeam Performance Enhancement: A team that has successfully completed the assessment is better equipped to contribute to projects and initiatives, improving overall team performance and productivity.\nRecognition and Motivation: Managers can use the graded certificates as a basis for recognising and rewarding employee achievements, which can boost morale and motivation within the team.\n\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									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/
ORGANIZER;CN=Snowden Optiro:MAILTO:
CATEGORIES:Classroom &amp; Online - Perth
LOCATION:Perth classroom and Online
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