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MNTC 311 Ore Body Modelling and Resource Estimation Units: 4.50
This course presents a basic introduction to the use of classical and geostatistical estimation techniques for mineral resource estimation. Students will learn to recognize the geological influences to ore body modelling, apply various estimation methods, produce mineralization reports, and classify the mineral resources and reserves according to accepted internationally recognized methods. The course will also include basic ore exploration and sampling concepts. Available Online.
K4.5 (Lec: Yes, Lab: No, Tut: No)
K4.5 (Lec: Yes, Lab: No, Tut: No)
Offering Term: FWS
CEAB Units:
Mathematics 16
Natural Sciences 0
Complementary Studies 0
Engineering Science 14
Engineering Design 24
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Identify an appropriate mineral deposit type, and use this to identify the geologic factors that control the spatial distribution of grades in the deposit.
- Compile and validate the data files and data bases required for mineral resource estimation.
- Statistically analyze and interpret grade distributions, scatterplots and spatial correlation.
- Explain the advantages and disadvantages of the three most common approaches to grade estimation: geostatistical kriging, inverse-distance interpolation, and the polygonal method.
- Formulate a set of resource estimation assumptions and parameters, use these to run software to create a resource block model, and then check the reliability of the resulting estimates.
- Quantify the uncertainty of estimates of tonnage and grade.
- Classify and report resource estimates according to the CIM Definition Standard used by Canadian National Instrument 43-101.
- Explain the recent history of national security regulations for the public reporting of mineral resources and reserves.
- Use commercial software to analyze drill hole databases, detect and correct errors, estimate and classify resources, and create 3D visualizations of data and resource block models.