Quantitative Mineral Mapping of Drill Core Surfaces I: A Method for μXRF Mineral Calculation and Mapping of Hydrothermally Altered, Fine-Grained Sedimentary Rocks from a Carlin-Type Gold Deposit

被引:16
|
作者
Barker, Rocky D. [1 ]
Barker, Shaun L. L. [2 ,5 ]
Wilson, Siobhan A. [3 ]
Stock, Elizabeth D. [4 ]
机构
[1] Univ Waikato, Sch Sci, Private Bag 3105, Hamilton 3240, New Zealand
[2] Univ Tasmania, CODES ARC Ctr Excellence Ore Deposits, Private Bag 126, Hobart, Tas 7001, Australia
[3] Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E3, Canada
[4] Barrick Gold Explorat Inc, 1655 Mt City Hwy, Elko, NV 89801 USA
[5] Univ British Columbia, Dept Earth Ocean & Atmospher Sci, Mineral Deposit Res Unit, Vancouver, BC, Canada
关键词
FUNDAMENTAL PARAMETERS; PHASE-ANALYSIS; QUANTIFICATION; FIXATION; ORE;
D O I
10.5382/econgeo.4803
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Mineral distributions can be determined in drill core samples from a Carlin-type gold deposit, using micro-X-ray fluorescence (mu XRF) raster data. Micro-XRF data were collected using a Bruker Tornado mu XRF scanner on split drill core samples (similar to 25 x 8 cm) with data collected at a spatial resolution of similar to 100 mu m. Bruker AMICS software was used to identify mineral species from mu XRF raster data, which revealed that many individual sample spots were mineral mixtures due to the fine-grained nature of the samples. In order to estimate the mineral abundances in each pixel, we used a linear programming (LP) approach on quantified mu XRF data. Quantification of mu XRF spectra was completed using a fundamental parameters (FP) standardless approach. Results of the FP method compared to standardized wavelength dispersive spectrometry (WDS)-XRF of the same samples showed that the FP method for quantification of mu XRF spectra was precise (R-2 values of 0.98-0.97) although the FP method gave a slight overestimate of Fe and K and an underestimate of Mg abundance. Accuracy of the quantified mu XRF chemistry results was further improved by using the WDS-XRF data as a calibration correction before calculating mineralogy using LP. The LP mineral abundance predictions were compared to Rietveld refinement results using X-ray diffraction (XRD) patterns collected from powders of the same drill core samples. The root mean square error (RMSE) for LP-predicted mineralogy compared to quantitative XRD results ranges from 0.91 to 7.15% for quartz, potassium feldspar, pyrite, kaolinite, calcite, dolomite, and illite. The approaches outlined here demonstrates that mu XRF maps can be used to determine mineralogy, mineral abundances, and mineralogical textures not visible with the naked eye from fine-grained sedimentary rocks associated with Carlin-type Au deposits. This approach is transferable to any ore deposit, but particularly useful in sedimentary-hosted ore deposits where ore and gangue minerals are often fine grained and difficult to distinguish in hand specimen.
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页码:803 / 819
页数:17
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