Generating synthetic data for simulation modelling in iron ore
| Autor: | T. J. Howard, K.F. Jupp, Jim Everett |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject Simulation modelling Process design engineering.material Geotechnical Engineering and Engineering Geology Alternative process Synthetic data Iron ore Mining engineering Geochemistry and Petrology Earth and Planetary Sciences (miscellaneous) engineering Production (economics) Quality (business) Process engineering business Productivity media_common |
| Zdroj: | Applied Earth Science. 123:39-46 |
| ISSN: | 1743-2758 0371-7453 |
| Popis: | Simulation modelling is a practice commonly used in the mining industry to evaluate alternative process designs. Such modelling is typically undertaken as an optimisation study to increase the efficiencies, productivity and product quality of operating mines. In this situation real short-term grade variability data of extracted ore are available from production records as input data into the simulation. There is also a need for simulation modelling to be performed before mines are approved for construction to clarify the grade variability characteristics that can be expected from the operating mine and assist in the optimisation of the process design. In this situation no historical short-term grade variability data are available. To achieve meaningful and reliable results from a simulation it is necessary to have input data for the ore to be extracted from the pits, representative of the short-term grade variability that would be expected for the operating mine. This paper describes an example of... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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