A procedure for modeling the deposits of kaolin raw materials based on the comprehensive analysis of quality indicators

Authors

DOI:

https://doi.org/10.15587/1729-4061.2017.103289

Keywords:

geometrization, geostatistical analysis, kaolins, whiteness of kaolins, grade differentiation, variogram analysis, Simpson method, management, quality control, technological processes

Abstract

determining of whiteness based on using a flatbed scanner with subsequent processing of color pixel coordinates, which combined high productivity, affordable price and acceptable accuracy, which, for the case of applying the flatbed scanner Epson Perfection V200 Photo (Japan), matches the accuracy of basic techniques. To enhance effectiveness of the implementation of the developed procedure, we created an algorithm and realized it in the software "Whiteness" for determining the whiteness of primary kaolins using a scanned image of the sample.

We established main types of correlation relationship between quality indicators of kaolins for Zhezhelivsky and Velyko-Gadominetsky deposit. The constructed models of correlation pairs provide a possibility to develop integrated indicators of deposit quality that will make it possible to simplify the process of building a model of geospatial variability of quality indicators and improve effectiveness of quality control at separate technological areas of a deposit.

We improved efficiency of mathematical modeling of geospatial variability of quality indicators to control technological processes of extraction and processing of primary kaolins, based on determining the optimal models of variograms for various areas of research using a devised plane criterion. We established directions that are characterized by maximal values of correlation degree and anisotropy indicators, and found the ranges of autocorrelation of data for selected quality indicators. We developed a procedure for a geostatistical calculation of reserves at Velyko-Gadominetsky deposit of primary kaolins taking into account the grade differentiation to improve effectiveness of quality control over raw materials. The main types of interrelations between quality indicators of kaolins are established. We determined the volume of kaolin field at Velyko-Gadominetsky deposit by industries and grades. A procedure is proposed to estimate an error in determining the volume of operations performed at a deposit to enhance efficiency of control processes in the exploration of deposits. The implementation of the developed procedures to determine the volume of Velyko Gadominetsky deposit of primary kaolins with respect to the grade differentiation using the proposed methodology is characterized by minimal values of relative mean-weighted error in determining the total amount of grade, which ranges from 0.001 % to 1.067 %.

Author Biographies

Ruslan Sobolevskyi, Zhytomyr State Technological University Chernyahovskoho str., 103, Zhytomir, Ukraine, 10005

PhD, Associate Professor

Department of mine surveying

Aleksey Vaschuk, Zhytomyr State Technological University Chernyahovskoho str., 103, Zhytomir, Ukraine, 10005

Assistant

Department of mine surveying

Oleksandr Tolkach, Zhytomyr State Technological University Chernyahovskoho str., 103, Zhytomir, Ukraine, 10005

PhD

Department of Mining named after prof. Bakka M. T.

Valentyn Korobiichuk, Zhytomyr State Technological University Chernyahovskoho str., 103, Zhytomir, Ukraine, 10005

Zhytomyr State Technological University

Chernyahovskoho str., 103, Zhytomir, Ukraine, 10005

Volodymyr Levytskyi, Zhytomyr State Technological University Chernyahovskoho str., 103, Zhytomir, Ukraine, 10005

PhD, Associate Professor

Department of mine surveying

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Published

2017-06-30

How to Cite

Sobolevskyi, R., Vaschuk, A., Tolkach, O., Korobiichuk, V., & Levytskyi, V. (2017). A procedure for modeling the deposits of kaolin raw materials based on the comprehensive analysis of quality indicators. Eastern-European Journal of Enterprise Technologies, 3(3 (87), 54–66. https://doi.org/10.15587/1729-4061.2017.103289

Issue

Vol. 3 No. 3 (87) (2017): Control processes

Section

Control processes

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Copyright (c) 2017 Ruslan Sobolevskyi, Aleksey Vaschuk, Oleksandr Tolkach, Valentyn Korobiichuk, Volodymyr Levytskyi

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