Outlining of high quality coking coal by concentration–volume fractal model and turning bands simulation in East-Parvadeh coal deposit, Central Iran
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Afzal, Peyman
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Outlining of high quality coking coal by concentration–volume fractal model and turning bands simulation in East-Parvadeh coal deposit, Central Iran
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Abstract
This study aims at identifying the proper parts of C1 and B2 coking coal seams in the North block of East-Parvadeh
coal deposit (Central Iran) using the concentration–volume (C–V) fractal modeling according to sulfur and ash
values which were calculated by turning bands conditional simulation. The C–V log–log plots were generated
based on results of 100 realizations derived via turning bands simulation which show seven different geochemical
populations for both sulfur and ash data in B2 seam which has a relatively good quality for coking coal with
sulfur and ash values lower than 1.548% and 6.39% respectively. Additionally, C–V log–log plots indicate that
there are seven and six for sulfur and ash geochemical populations in C1 seam containing a proper coal quality
with respect to sulfur and ash values less than 1.41% and 6.92% respectively. High quality populations are located
in the northern and western parts of the studied area which correlated with USGS standard. The logratio matrix
was used for the correlation between results obtained by the C–V fractal modeling and geological particulars
consisting of pyritic veins and ash coals. Based on the logratio matrix for sulfur values higher than 3.55% and
3.39% for C1 and B2, respectively, low quality parts of the seams have good correlation with pyritic veins in the
eastern and central parts of the area. Moreover, there are high values of overall accuracy (OA) for correlation
between parts of the seams with high values of ash which are 47.86% and 39.81% for C1 and B2, respectively,
and ash coals obtained by geological data.
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Artículo de publicación ISI
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URI: https://repositorio.uchile.cl/handle/2250/126655
DOI: dx.doi.org/10.1016/j.coal.2014.03.003
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International Journal of Coal Geology 127 (2014) 88–99
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