This website uses cookies to enhance browsing experience. Read below to see what cookies we recommend using and choose which to allow.
By clicking Accept All, you'll allow use of all our cookies in terms of our Privacy Notice.
Essential Cookies
Analytics Cookies
Marketing Cookies
Essential Cookies
Analytics Cookies
Marketing Cookies
This course will provide the framework for mining professionals to understand the methodology to construct a mineral resource estimate and extend this workflow to conditional simulation for uncertainty assessment. The first day will present the fundamentals for mineral resource estimation, highlighting the main decision-making tasks and their impact on the resulting mineral resource model. The second day will focus on conditional simulation, the practical details associated to its implementation, and its many possible applications to mineral resource risk assessment in the mining sector.
Day 1: Monday, April 19, 2021, 8:15 AM–4:30 PM, Pacific Time Zone
Day 2: Wednesday, April 21, 2021, 8:15 AM–4:30 PM, Pacific Time Zone
This webinar is best suited to professionals in the mining industry who can benefit from enhancing their knowledge when using, reviewing, and/or constructing resource models for evaluation of mineral deposits. Further, any professionals tasked with evaluating the risk potential associated to a mineral resource may find the model sensitivities and resource uncertainty topics of particular interest.
There are no prerequisites for this webinar. Ideally participants should have some exposure to natural resources modelling; however, the broader concepts discussed in the seminar should be accessible to most individuals.
Dr. Oy Leuangthong, is a Corporate Consultant (Geostatistics) with SRK Consulting (Canada) Limited based in Toronto, Canada. She has 20 years experience with geostatistics and 3D modelling of mineral and petroleum resources. Her areas of expertise are in resource estimation, simulation, and classification using geostatistics, with particular interest in multiple variables and trend modelling. Oy has been involved with estimation and simulation studies in multiple commodities including gold, copper, zinc, nickel, phosphate, and uranium in North America, South America, Africa, and Australia. She has authored and co-authored two books, 20 journal papers, and more than 30 conference articles on geostatistics for resource characterization.
Prior to joining SRK, she was an Assistant Professor in Mining Engineering at the University of Alberta in Edmonton, Alberta. She has taught geostatistics in various industry courses to engineers and geologists from national and multinational companies in North and South America, and Africa. Since 2017, she has taught an undergraduate resource estimation course at the University of Toronto. Oy has given numerous presentations at national and international conferences. In 2018, she was voted as one of the 100 Global Inspirational Women in Mining.
In this workshop attendees will learn about analytical methods and laboratory test procedures to assess deposits for pre-concentration. Strategies for assessing different pre-concentration options (e.g. bulk vs. particle sorting) will be reviewed including what tools/techniques are available. Attendees will learn how variability within a deposit can be quantified and the economic benefits of rejecting waste material before it reaches the process plant.
Learn More
This research focuses on the unsaturated flow through tailings slimes and how this can influence the overall stability of a generic upstream sand dam that stores slimes in its impoundment.
Learn MoreIt is important for the team members of any mining project, particularly the decision makers, to have a clear understanding of the mine design process and the stages of mine development. This course reviews and discusses the principles of open pit mine design, using examples and practice exercises. Some of the most important aspects of mine design are introduced and explained.
Learn More