2017
DOI: 10.1016/j.jag.2017.02.018
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Predicting the abundance of clays and quartz in oil sands using hyperspectral measurements

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Cited by 15 publications
(9 citation statements)
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“…High amounts of quartz were observed in ES (99 wt%) and MS (93 wt%) in the bulk samples (Figure ). On the other hand, high amounts of clay minerals were identified in EC (32.4 wt%) and MC (29.5 wt%) in the bulk samples . The highest amount of carbonate minerals was observed in the clay samples, especially in the MC fractions.…”
Section: Resultsmentioning
confidence: 92%
“…High amounts of quartz were observed in ES (99 wt%) and MS (93 wt%) in the bulk samples (Figure ). On the other hand, high amounts of clay minerals were identified in EC (32.4 wt%) and MC (29.5 wt%) in the bulk samples . The highest amount of carbonate minerals was observed in the clay samples, especially in the MC fractions.…”
Section: Resultsmentioning
confidence: 92%
“…The reflection dip at 1120 cm À1 is a feature associated to clays. 1 A reflection dip around 1160 cm À1 and a strong peak at 1220 cm À1 , attributed to the Si-O bands for quartz, 15 are also seen in the spectra. The peaks located at 1554 cm À1 , 1650 cm À1 , 1750 cm À1 , and 1834 cm À1 are observed in quartz samples with particles of size in the tens of microns range, 16 indicating the particulate nature of the sample.…”
Section: Methodsmentioning
confidence: 79%
“…Reflectance optical spectroscopy and hyperspectral measurements have been performed to investigate the mineral abundance in oil sands. 1 Combined QXRD and X-ray fluorescence have been used to determine both crystalline and non-crystalline phases in oil sands minerals. Other techniques such as energy-dispersive X-ray spectroscopy 2 and laser-induced breakdown spectroscopy have been used to study the elemental composition.…”
Section: Introductionmentioning
confidence: 99%
“…The reflectance curve contains physical and chemical properties of the material since chemical bonds absorb light at specific wavelengths [21]. Ground-based hyperspectral imaging has been widely used in geologic characterizations [15,[22][23][24][25][26][27][28], in which variations of the sub-centimeter or sub-millimeter scale can be resolved. This study used hyperspectral imaging to identify mineralogy as well as to extract relative abundances of the minerals.…”
Section: Hyperspectral Imagingmentioning
confidence: 99%