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Improved Reliability of Resource Estimate Based on Assay Quality Control

Abstract

All resource models depend on assays and an assumption that representative subsamples were assayed accurately. Resource estimation, for gold projects in particular, requires an understanding of routine sample preparation and assay methods.

Assay quality control programs have become near ubiquitous since NI43-101 reports were introduced nearly 20 years ago. There are no specific rules for the rate of insertion, actions required for quality control failures and other questions that frequently arise. Statistics from studies of publicly available NI43-101 reports will be presented that have helped Analytical Solutions Ltd. develop guidelines for clients to achieve “industry standard” compliance.

Achieving a representative sample for assay is a significant challenge for some gold projects. Part of the challenge is balancing the cost of sample preparation and maximizing the probability of achieving a representative sample. Justifying higher costs for sample preparation should be based on duplicate data and the correct estimation of precision. The industry uses a wide range of statistics to estimate precision; this has caused confusion about optimum results.

The preferred methods of calculating precision using the coefficient of variation and visualization of the data are presented. 

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Fundamentals of Applied Geochemistry: Methods of Determination and QA/QC

The focus of this paper is the control and improvement of analytical data quality for exploration geochemical surveys. Many types of geochemical surveys (hydrogeochemistry, biogeochemistry, selective extractions and rare earth lithogeochemistry) take advantage of modern technology, such as ICP-MS, and require measurement of elements at the sub-ppb level.

 

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Writing Geochemical Reports 3rd Edition

This third edition expands the original mandate of surficial geochemical reports to include multiple types of geochemical surveys with survey-specific recommendations.

Edited by Lynda Bloom and Owen Lavin.

 

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Quality Control Tools
QC Mine

Brought to you by Analytical Solutions Ltd, QC Mine is a series of Excel macros designed to help organize and interpret Quality Control data for the geological and mining industries. Given a large QC data set, QC Mine can aid in finding and correcting errors in the data, produce some basic statistics, and plot easy to interpret control charts.

All data is saved as a series of intuitively named macro-free Excel workbooks for ease of distribution. A copy of the macro with all of the data is also saved in a ready-to-plot format that allows for quick and easy modification, reanalysis and replotting. QC Mine Lite is also available which is an abbreviated version of QC Mine, both of which are available from Analytical Solutions Ltd and OREAS Pty Ltd.

QC Mine Lite is easier to use but does not possess all of the functions that the full version of QC Mine contains. You are welcome to download the User Manual and Excel Macro files and start exploring their utility today!