Smee, B.W.

Strategies for reducing sampling errors in exploration and resource definition drilling programs for gold deposits.

Geochemistry: Exploration Environment Analysis
04/14/2007      Stanley, C.R.     Smee, B.W.     

Abstract

Sampling error is the degree to which the concentration of an element differs from the true element concentration of the material from which the sample was collected. Gold mineralization commonly exhibits sampling errors as large as 50–100%. As a result, collection and preparation of drill samples from Au mineralization can provide significant challenges for the geoscientist, largely because of the coarse particulate nature of Au. To avoid this, geoscientists have opted to collect and prepare larger drill samples to reduce the magnitude of this ‘nugget effect’.


Controlling the quality of information from field to data base.

Exploration 2007
04/14/2007      Smee, B.W.     

Exploration 2007 Workshop.

Workshop/Seminar


Estimating risk using quality control data.

SEG
04/14/2006      Smee, B.W.     

Workshop on Geochemistry in Mineral Resource Development, in Wealth Creation in the Minerals Industry, SEG, Keystone, Colorado.

Workshop/Seminar


Partial leaches: What do we know, and when did we learn it?

IGES
05/14/2005      Smee, B.W.     

Workshop on partial leaches in exploration and environmental geochemistry, IGES, Perth.

Workshop/Seminar


Reply to Alan Mann letter

Explore - Association of Exploration Geochemists Newsletter
04/10/2003      Smee, B.W.     

Response to Reply. Article “Theory behind the use of soil pH measurements as an inexpensive guide to buried mineralization, with examples” by Barry Smee in Explore 118, Jan 2003.


Enhancements in the interpretation of geochemical data using multivariate methods and digital topography

CIMM Bulletin/Magazine - Canadian Mining & Minerals Bulletin
04/14/2003      Smee, B.W.     Grunsky, E.C.     

Abstract

The development of low-cost, rapid multielement analytical techniques has generated large geochemical databases in many exploration programs. When a sampling program consists of several thousand samples, the resulting data matrix is enormous and effective interpretation using all of the elements individually becomes burdensome.


Quality control in mineral exploration.

Arthur Andersen, Santiago Chile.
04/14/2000      Smee, B.W.     

In: Mineria, Centro de Excelencia en Mineria (Centre of Excellence in Mining).

NOTE: Arthur Andersen Consulting now doing business as Accenture;

Sorry, no archived publications or reports available.


Enhancements in the interpretation of geochemical data using multivariat methods and digital topography.

CIMM Bulletin/Magazine - Canadian Mining & Minerals Bulletin
04/14/2000      Smee, B.W.     Grunsky, E.C.     

CIMM Annual Meeting Abst.

Sorry, CIMM Annual Meeting proceedings not available to the public.


The differentiation of sample media types and mineralization from multi-element geochemistry

Journal of Geochemical Exploration - Association of Exploration Geochemists
04/14/1999      Smee, B.W.     Grunsky, E.C.     Andriashek, L.D.     

using multivariate methods and digital topography.

Abstract

Multi-element geochemical data can be effectively interpreted through the application of multivariate statistical techniques, imaging methods and integration with digital topographic information. These techniques have been applied to a suite of 1665 soil samples collected in a sampling program from the central Sumatra area of Indonesia. The selected samples were analyzed for Au, Cu, Pb, Zn, As, Sb, Ba, Ca, Cd, Co, Cr, Fe, Ga, K, La, Li, Mg, Mn, Nb, Ni, Sc, Sr, Ti, V, Y, Zr and Hg using aqua-regia digestion followed by ICP–IES determination.


Syndicate content