Coal Geology & Exploration
Abstract
Taking No.3 coal in Gucheng coal mine, Shandong Province as the target, 3D coal seam entity models were built in 3DMine software, coaly quality indices' distributions were analyzed and coal reserve was calculated and compared to the reserve estimation in method of geological block. Firstly, a boreholes database is established using the geological data and borehole data of the target, and a 3D surface model of the coal seam with faults embedded was constructed. Then, the surface model was interpolated into an entity blocks model through the algorithm of inverse distance weighted(IDW) interpolation. Finally, the recoverable coal reserve of the target was computed and the distributions of several indices of the coal quality, such as Mad, Ad, St,d, Qg,d, Vdaf and GR.I., were analyzed and visualized based on the entity blocks model. The result shows that the indices Ad, St,d and Vdaf decrease from northwest to southeast along the coal seam burial depth increases while the Qg,d and GR.I. grow up. Furthermore, the 3D blocks model with faults embedded not only represents the actual spatial morphology of coal seam and faults structure vividly but gives a much more consulted recoverable coal resources calculation also.
Keywords
3DMine, 3D modeling, rule of coal quantity distribution, reserve estimation, Gucheng coal mine
DOI
10.3969/j.issn.1001-1986.2019.02.012
Recommended Citation
LIU Xiaoning, LUO Jinhui, MA Xiaoli,
et al.
(2019)
"Data modeling and analysis of coal resources based on 3DMine software,"
Coal Geology & Exploration: Vol. 47:
Iss.
2, Article 13.
DOI: 10.3969/j.issn.1001-1986.2019.02.012
Available at:
https://cge.researchcommons.org/journal/vol47/iss2/13
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