Geostatistics and Resource Estimation Seminar

Learn practical tools to aid analytical decision making when constructing resource models for mineral deposit evaluation
Dates:
Wednesday, May 31 and Thursday, June 1, 2017
8:00 a.m — 4:30 p.m.
Location: Vancouver, BC
Description:
This seminar is largely aimed at the practice of geostatistics for mineral resource modeling. Geostatistical theory will be presented, along with practical tools to facilitate decision-making during model construction.

The anticipated course topics include exploratory data analysis, declustering, variogram analysis, change of support, resource estimation methods, and model validation. The scope of this seminar will be limited to resource estimation. It will be conducted with presentations, interspersed with case studies and brief demonstrations. This course is not intended to teach software, but focuses on the analytical decisions required when constructing a resource model.No geostatistics background is necessary.
 
Audience: The seminar is aimed at geologists, geoscientists, and engineers who can benefit from enhancing their skills and knowledge when using, reviewing, and/or constructing resource models for evaluation of mineral deposits. The concepts presented herein are also applicable to other natural resource industries outside of the mining sector, including forestry, environment, petroleum, and agriculture.
 
Fees (incl. tax):
Early bird price (APEGBC members only): $901.06 until May 17, 2017
Regular price (members and non-members): $1006.95
Student APEGBC members: $503.48
 
APEGBC contact:
Emma Talbott | Professional Development Coordinator
Direct: 604.412.4880
Toll Free: 1.888.430.8035 ext.4880
Fax: 604.639.8180
Email: etalbott@apeg.bc.ca

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Instructor:

Geo-statistician Oy Leuangthong has 15 years of experience in using geostatistics for resource estimation and conditional simulation Oy Leuangthong
PhD, PEng

Principal Consultant (Geostatistics) 
oleuangthong@srk.com

Oy has 15 years of experience in using geostatistics for resource characterization and uncertainty assessment. She specializes in resource estimation and conditional simulation and has worked on simulation studies for copper, gold, zinc, nickel, and uranium projects in North America, South America, Africa, and Australia.

Oy has taught geostatistics to international companies’ engineers and geologists as well as undergraduates and graduates at the Universities of Alberta and Toronto. She has authored and co-authored two books and more than 40 technical papers on geostatistics.

 
 
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