Investigation of pyrophyllite deposits using multifactorial modeling method and complex quality index in Ukraine

In mine exploration, multifactorial model should be developed using quality index for different geological and economical quality indicators. Complex quality index is one of the major analyses methods of mine scheduling techniques in the sector. In this study, it is aimed to characterize the spatial...

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Bibliographic Details
Published in:Environmental earth sciences 2017-12, Vol.76 (23), p.1-11, Article 784
Main Authors: Dogruoz, Cihan, Tolkach, Oleksandr, Sobolevskyi, Ruslan, Nieto, Antonio
Format: Article
Language:English
Subjects:
Anisotropy
Biogeosciences
Ceramics industry
Correlation
Correlation analysis
Earth and Environmental Science
Earth Sciences
Economic models
Environmental Science and Engineering
Exploration
Geochemistry
Geology
Geostatistics
Hydrology/Water Resources
Indicators
Industrial applications
Kriging interpolation
Mathematical models
Minerals
Modelling
Original Article
Parameters
Pyrophyllite
Quality
Ratios
Regression analysis
Spatial distribution
Statistical methods
Terrestrial Pollution
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Summary:In mine exploration, multifactorial model should be developed using quality index for different geological and economical quality indicators. Complex quality index is one of the major analyses methods of mine scheduling techniques in the sector. In this study, it is aimed to characterize the spatial distribution of pyrophyllite minerals located at Kuryanovsky region, Ukraine. Regression analyses of the main quality indicators were determined, and spatial correlation was examined to carry out the favorable zones of material within the deposit that can be used for ceramic industry applications. The model introduced in this research required geostatistical analysis of key mineralogical indicators from samples containing different key parameters and geological indicators. Experimental variograms generated from analyzing potential correlation within the samples were modeled to characterize those areas within the deposit to be considered feasible for ceramic applications and manufacturing. Variograms for each of the sample datasets as well as the models indicating key parameters such as sill, nugget, range, and anisotropy ratios are given in this study. Moreover, economical indicators are used to perform ordinary kriging to determine a final spatial solution indicating favorable pyrophyllite zones.
ISSN:1866-6280
1866-6299
DOI:10.1007/s12665-017-7153-0