A NOVEL APPROACH FOR GEOSTATISTICAL MODELING AND PRODUCTION SCHEDULING OF IRON DEPOSITS WITH INEQUALITY CONSTRAINTS

dc.contributor.authorAbulkhair, Sultan
dc.date.accessioned2021-05-17T10:03:53Z
dc.date.available2021-05-17T10:03:53Z
dc.date.issued2021-05-01
dc.description.abstractThe modern mining industry employs plenty of exploration data digitization and utilizes computational resources for future forecasting and production scheduling. In that regard, geostatistics and mine planning as disciplines are critical parts of the mining business. However, traditional mine planning does not allow the risk management associated with geological uncertainty due to using a single mineral resource model as an input. Integration of stochastic geostatistical realizations into mine planning can help to minimize the risk of not meeting the production targets. Nevertheless, there are still many limitations in commercially used stochastic geostatistical algorithms, particularly multivariate methods. For example, it is common to deal with challenging datasets containing bivariate complexities among variables, such as inequality constraints.....en_US
dc.identifier.citationAbulkhair, Sultan (2021) A Novel Approach for Geostatistical Modeling and Production Scheduling of Iron Deposits with Inequality Constraints. Nazarbayev University School of Mining and Geosciences.en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/5411
dc.language.isoenen_US
dc.publisherNazarbayev University School of Mining and Geosciencesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectEmbargoen_US
dc.titleA NOVEL APPROACH FOR GEOSTATISTICAL MODELING AND PRODUCTION SCHEDULING OF IRON DEPOSITS WITH INEQUALITY CONSTRAINTSen_US
dc.typeMaster's thesisen_US
workflow.import.sourcescience

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