Bargawa, Waterman Sulistyana and Amri, Nur Ali (2016) Mineral Resources Estimation Based on Block Modeling. In: AIP Conference Proceedings 1705, 2016, American Institute of Physics.
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Abstract
The estimation in this paper uses three kinds of block models of nearest neighbor polygon, inverse distance squared and ordinary kriging. The techniques are weighting scheme which is based on the principle that block content is a linear combination of the grade data or the sample around the block being estimated. The case study in Pongkor area, here is gold-silver resource modeling that allegedly shaped of quartz vein as a hydrothermal process of epithermal type. Resources modeling includes of data entry, statistical and variography analysis of topography and geological model, the block model construction, estimation parameter, presentation model and tabulation of mineral resources. Skewed distribution, here isolated by robust semivariogram. The mineral resources classification generated in this model based on an analysis of the kriging standard deviation and number of samples which are used in the estimation of each block. Research results are used to evaluate the performance of OK and IDS estimator. Based on the visual and statistical analysis, concluded that the model of OK gives the estimation closer to the data used for modeling.
| Item Type: | Conference or Workshop Item (Paper) |
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| Subjects: | T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Dr. ST. MT Nur Ali Amri |
| Date Deposited: | 19 Nov 2021 12:12 |
| Last Modified: | 19 Nov 2021 12:12 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/27080 |
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