Applied mineral exploration methods, hydrothermal fluids, baro-acoustic decrepitation, CO2 rich fluids
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NT DME   Tanami decrepitation tests

Kingsley Burlinson,   Burlinson Geochemical Services Pty. Ltd.

Seven of the samples were re-analysed for quality control.  Some low decrepitation samples were reanalysed using a larger sample to improve the counting statistics, some samples proved to have carbonate in them and were re-analyses after washing in HCl to remove excess carbonates and one sample was reanalysed to check the reproducibility of a comples decrepigram shape.

Sample 11079 (run H1552) had excessive counts at 620 C due to probable carbonate and was reanalysed after acid attack. The difference between the 2 results on this sample is due to unremoved carbonate in run h1552.


Sample 11112, run h1561 had very low counts. The re-analysis using 1.5 gms of sample in run h1592 shows the same peak details and compares well with a mathematical interpolation of the smaller sample analysis.


Sample 11132 in run h1553 had excessive counts at 620 C due to possible carbonate and was re-analysed after washing in HCl. The re-analysis shows a better defined peak (h1589) which is typical of quartz.


Sample 11358 in run h1564 had only low counts and was re-analysed using 3 times the sample (1.5 gm).


Sample 11418 in run h1575 had a double peak between 400 and 500 C and was re-analysed to see if this was reproducible. The re-analysis (h1590) had a single broad peak in this location rather than a double peak. It is inappropriate to try and interpret more than one population of inclusions in the 400 to 500 C range.


Sample 11514 in run h1569 had high counts at 620 C due to probable carbonates and was re-analysed after attack with Hcl. The significant difference between the 2 analyses is due to carbonate contamination in run h1569.


Sample 11847 had only low counts in run h1579 and was re-analysed with a larger sample of 1.5 gm. The re-analysis (h1594) shows that the peak at 300 C is real, although it was only poorly defined on the smaller sample result. The mathematical interpolation of the small sample analysis agrees with the larger sample analysis, albeit showing some noise due to poor counting statistics on the smaller sample size.


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