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Showing 1 to 7 of 7 for “"conditional simulation"”.
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Curve sampling and geometric conditional simulation
… our basic curve sampling framework to perform conditional simulation: a portion of the solution space is specified, and the remainder is sampled conditioned on that information. For difficult segmentation problems which are currently done manually by human experts, reliable semi-automatic …
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APPLICATION OF CONDITIONAL SIMULATION MODEL TO RUN-OF-MINE COAL SAMPLING FREQUENCY DETERMINATION AND COAL QUALITY CONTROL AT THE POWER PLANT (BLENDING, GOAL PROGRAMMING, MICROCOMPUTER).
… of overall emission control strategies. A simulation model of a portion of the Upper Freeport coal seam in western Pennsylvania was developed employing conditional simulation. On the simulated deposit, different mining methods were simulated to generate ROM coal data. ROM coal data was …
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Variability Structure Estimation: The Role of Sample Support
… shown using two different sets of data one is a conditional simulation based on 1650 measurements of phosphorous in a section of one mi2 area (640 acres, or 259 ha). The second data set consists of chloride mass recovery measurements within a small field plot. With these application examples, the …
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Variability structure estimation: The role of sample support
… shown using two different sets of data one is a conditional simulation based on 1650 measurements of phosphorous in a section of one mi2 area (640 acres, or 259 ha). The second data set consists of chloride mass recovery measurements within a small field plot. With these application examples, the …
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Change of support correction in mineral resource estimation
… techniques arc two recent methods these arc a conditional simulation method detailed by I. Glacken and a kriging method due to A. Arik. This study aims to examine these two methods and compare them with the standard techniques. The methods will be applied to real data acquired from the …
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Recoverable resources calculation using non-linear methods: a comparative study
… control), and the potential for unnacceptable conditional bias to be introduced through the use of linear geostatistical methods when determining grade estimates over a small support has led to assessment of the potential benefit of employing the local change of support methods Localised …
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Geostatistical spatiotemporal modelling with application to the western king prawn of the Shark Bay managed prawn fishery
Geostatistical methodology has been employed in the modelling of spatiotemporal data from various scientific fields by viewing the data as realisations of space-time random functions. Traditional geostatistics aims to model the spatial variability of a process so, in order to incorporate a time …