Technical Institute (Division), Ammosov North-Eastern Federal University, Neryungri, Russia:

P. Yu. Kuznetsov, Associate Professor, Candidate of Geologo-Mineralogical Sciences
N. N. Grib, Deputy Director of Scientific Work, Head of a Chair, Doctor of Engineering Sciences, grib@nfygu.ru
Yu. N. Skomoroshko, Associate Professor, Candidate of Engineering Sciences

The article addresses some issues targeted at stage-wise solution of the problem connected with the assessment of nonuniformity and spatial variability in the indexes of coal quality with a view to implementing mathematically validated planning of operational exploration and anticipatory assaying for the purpose of efficient control of a mineral quality as a mine product. To deal with the specified range of the issues, the authors have compiled a database on quality indexes for coal of the Elginskoe deposit in the Southern Yakutia basin using the data on geological exploration. Based on the analysis of information content of the data on the coal quality indexes, the key indexes are determined for the Elginskoe deposit to ensure the required source information to handle the problems of assessment of nonuniformity and spatial variability. In the capacity of the nonuniformity criterion, the value of relative entropy has been assumed in this study. The nonuniformity of the coal quality indexes in terms of the mentioned deposit is assessed both separately and as an integrated estimate of coal beds with regard to the percentage of influence of each quality index on the general index of the strata nonuniformity. Taking into account the entropy-based calculations, the authors have developed the nonuniformity classification in terms of the deposit under analysis. For the assessment of the spatial variability, the coefficient of the spatial information variability has been offered to estimate the minimum number of holes required to find general tendencies of change in the coal quality indexes. Furthermore, the study determines the systemic state of the coal quality indexes based on Bir’s classification of data systems. On the ground of the analysis of the research findings, the authors make recommendations on the further planning of stages of operational exploration and long-term anticipatory assaying with a view to enhancing efficiency of coal product quality control in terms of the Elginskoe bituminous coal deposit.

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