- Title
- Estimating mineralogy in bulk samples
- Creator
- Berry, Ron; Hunt, Julianne; McKnight, Stafford
- Date
- 2011
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/68426
- Identifier
- vital:4763
- Abstract
- This paper looks at two ways to estimate the bulk mineralogy of the rocks for assay intervals. The aim is to find an efficient indicator of the most common minerals in the rock. Phase (modal) analysis has traditionally been done using visual methods such as point counting and image analysis. A modern version of this process is the X-ray point counting routine using the SEM-EDS based software. These methods are too slow and expensive for routine analysis of bulk sample mineralogy at the normal assay spacing. Two sources of data were considered that provide information that can be used to determine the mineral abundance in assay samples. The most widely applied method is (semi-) quantitative X-ray diffraction (QXRD). The QXRD method is most applicable to major minerals and has limited application to minerals at low abundance. The nominal detection limit is 0.5 per cent. Values below five per cent have large errors. A second, less common, method is calculation of mineralogy from chemical assay data. Conversion of chemical analyses to mineralogical analyses depends on the unique chemical composition of each mineral. Elements only found in one mineral are easily accounted for, but many compositions are ambiguous. Deciding on the actual mineralogy is not simple. Recalculation of mineral mode from chemical analyses is more accurate than QXRD when the correct minerals, and mineral compositions, are known. Where only a few QXRD analyses are available they can be used to setup a protocol for calculation of mineralogy from assay data. Linear programming works well in this environment. The best results are obtained when both H 2O and CO 2 are directly measured. Loss-on-ignition (LOI) should be included if these are not available. Where both QXRD and chemical analysis are available for all samples, the best results are obtained using the least squared method to merge the data sets assuming QXRD has much higher analytical errors than chemical assays. The combined method provides more robust results because the high abundance minerals are controlled by the QXRD measurements while the chemical assays improve the precision for low abundance minerals.
- Publisher
- Brisbane, QLD AusIMM The Minerals Institute
- Rights
- Copyright The Australasian Institute of Mining and Metallurgy
- Rights
- This metadata is freely available under a CCO license
- Subject
- Analytical errors; Bulk samples; Chemical compositions; Combined method; Data sets; Detection limits; Loss-on-ignition; Mineral composition; Mineralogical analysis; Point counting; Quantitative x ray diffraction; Routine analysis; SEM-EDS; Two sources; Assays; Carbon dioxide; Crystallography; Data handling; Errors; Mineralogy; X ray diffraction; Minerals
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