Workshop Description :
Understanding the regulations is the first part of implementing an assay quality control program but understanding processes and risks helps define effective quality control programs. The course will focus on sample preparation and assay methods to enable participants to better understand the various quality control methods. All of the QC tools (blanks, reference materials/standards, duplicates and check assays) will be reviewed including rates of insertion, graphical data presentation and decision making. Case histories and classroom exercises are used to augment the learning experience.
Presenter: Lynda Bloom, President, Analytical Solutions Ltd.
After earning a M.Sc. at Queen's University in 1981, Lynda Bloom gained experience as an exploration geochemist and commercial laboratory manager. She has been president of the consulting company Analytical Solutions Ltd. since 1985 and has worked internationally on projects ranging from stream sediment surveys to mine laboratory audits. Since the introduction of NI43-101 reporting standards in 2000, she has helped numerous companies meet regulatory standards in a cost-effectively. She is recognized as a world-expert on sampling, assaying and quality control, participating in over 50 short courses and workshops. She has held management and director positions at several public companies and has a pragmatic perspective of risk and implementation. She is currently on the Mining Technical Advisory & Monitoring Committee for the BCSC and OSC and served as a director of the PDAC for 9 years, as well as numerous other volunteer and advisory board positions. firstname.lastname@example.org
The Art of Fire Assay: A risk assessment view of fire assay techniques to design better assay quality control programs
Quality Control Programs: A discussion of regulatory requirements, “industry-standards” and the effective use of blanks, standards, duplicates (field, preparation and analytical).
When is good, good enough?: “Fit for purpose” QC assessment identifies appropriate sample preparation and analytical methods and avoids spending unnecessary money on the extras
Precision and Uncertainty: Error in geochemical data and assays does not undermine their value, but it is essential to quantify it to understand the associated risk. An assessment of the various tools to assess precision with an emphasis on robust methods is provided.
Assessing Bias: Geologists are asked to compare numerous datasets; twinned drill holes, historic vs. recent databases, check assays. The “Fallacy of Averages” will be discussed and alternative methods introduced to measure and visualize data distributions
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