Analytical Methods in Geochemical Prospecting by William K. Fletcher

By William K. Fletcher

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Extra resources for Analytical Methods in Geochemical Prospecting

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2-9. Only an outline of their origins and the means of monitoring them is given here, specific causes and their elimination being considered in greater detail at appropriate points throughout the book. SET IE Range 3 . 3 6 - 4 . 16 g/t St. dev. V. 0 GOLD ( g / t ) 12 SET I II 10 9 8 >LU 3 6 \ σ a: ° //////////// 4 3 7Z - § 2 o 3 0 R □ nge Mean St. dev. V. w,fe /%; 5 5 4 0 3 . 0 5 - 4 . 5 1 5. GOLD (g/t) Fig. 2-9. Comparison of duplicate analysis for Au by two analysts using different instruments.

3679 and there is therefore a 37% chance of such a sub-sample analyzing as only 1 ppm Sn (Fig. 2-8). 4) the sampling distribution is strongly skewed towards low values with approximately two thirds of the samples reporting the background content (1 ppm): no single analysis will correspond to the overall Sn content but one in twenty analyses will be as high as 40 ppm. Skewed Poisson distributions are often reported for Au (Jones and Beaven, 1971) and extreme examples have been reported for diamonds (Phillips, 1971).

Scott and Ure (1972). 48 PREPARATION OF ROCK SAMPLES Reduction of rock fragments to powder involves crushing in a laboratory jaw crusher, which should be capable of handling about 50 kg per hour, followed by grinding in a disc mill, swing mill or ball mill (Fig. 3-1). Disc mills, in which the sample is fed between one rotating and one stationary vertical plate, are able to handle relatively large volumes of material and samples weighing several kilograms can be reduced rapidly to minus 100 mesh, which is sufficiently fine for many purposes.

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