#TITLE_ALTERNATIVE#
The characteristics of coal deposit spatially are relatively homogeneous, which made the data of geometry and quality parameters are often considered stationary. Generally, the parameters are only represented by drill holes distribution using a certain distance. In fact, there were geological effect...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/29940 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The characteristics of coal deposit spatially are relatively homogeneous, which made the data of geometry and quality parameters are often considered stationary. Generally, the parameters are only represented by drill holes distribution using a certain distance. In fact, there were geological effects on the coal formation which caused the distribution of its qualities and geometry were non-stationary and quite difficult to be predicted spatially. This problem could generate the result of resource estimation imprecise. The purpose of this research is to analyze the spatial continuity coal geometry and qualities using several approaches such as dividing the data into three domains spatially, data transform, and separating the residue data from its trend using residual method for seam thickness and sulfur. The results of each treatment were analyze statistically to determine the data's distribution. Afterwards, a variogram analysis was calculated to find out the data variance and measure the spatial continuity of the data. A local variability was determined using global estimation variance (GEV) to obtain the optimum drill holes spacing. The results show that the best method is clustered data to 3 part, because data more stationary than before. The other methods show strong trend. The result of this analysis is expected to be a reference for coal resources categorizing especially if we deal with non-stationary data. |
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