MODELING OF GEOMETRIC ANISOTROPIC SEMIVARIOGRAM AND COKRIGING ON COAL
Anisotropic semivariogram used to measure the dependence between the observations are based on the distance and direction. To determine the geometry of anisotropic semivariogram anisotropic axis identification and raw range. In coal exploration often found the problem to know a lot of coal reserves...
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| Format: | Final Project |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/33857 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Anisotropic semivariogram used to measure the dependence between the observations are based on the distance and direction. To determine the geometry of anisotropic semivariogram anisotropic axis identification and raw range. In coal exploration often found the problem to know a lot of coal reserves available in one location. To do an assessment of coal used cokriging method. The method involves two variables with high spatial correlation are: thickness and sodium with a correlation of 0.806. Data coal in East Kalimantan R layer is modeled using exponential semivariogram models, Gaussian, and spherikal anisotropic. The model used in the East-West, North-South, East-Northwest, and Southwest-Northeast to estimate the amount of coal at a site. Anisotropic exponential model is the best model for each variable and cross semivariogram. Cokriging estimated value using the Jackknife method. By using these methods, the results estimated cokriging Mean Square Error thickness of 4.2138 better than the Mean Square Error sodium 41.9368. |
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