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Geostatistics versus inverse distance squares in ore reserves estimation: Comparative case study in copper ore body in Cyprus

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dc.contributor.author Modis, K en
dc.contributor.author Stavrou, S en
dc.contributor.author Terezopoulos, N en
dc.contributor.author Vattis, D en
dc.date.accessioned 2014-03-01T01:28:30Z
dc.date.available 2014-03-01T01:28:30Z
dc.date.issued 2008 en
dc.identifier.issn 03717844 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18864
dc.subject Geostatistics en
dc.subject Inverse distance squares method en
dc.subject Ore reserves estimation en
dc.subject Sampling density en
dc.subject.other Blasting en
dc.subject.other Boolean functions en
dc.subject.other Copper en
dc.subject.other Copper deposits en
dc.subject.other Copper ore treatment en
dc.subject.other Employment en
dc.subject.other Explosives en
dc.subject.other Extraction en
dc.subject.other Interpolation en
dc.subject.other Ore deposits en
dc.subject.other Ore sampling en
dc.subject.other Ore treatment en
dc.subject.other Sampling en
dc.subject.other Blast holes en
dc.subject.other Case studies en
dc.subject.other Continuous en
dc.subject.other Copper ores en
dc.subject.other Critical values en
dc.subject.other Estimation qualities en
dc.subject.other Geostatistics en
dc.subject.other GREAT-ER en
dc.subject.other Interpolation methods en
dc.subject.other Inverse distance squared en
dc.subject.other Inverse distance squares method en
dc.subject.other Ore bodies en
dc.subject.other Ore extractions en
dc.subject.other Ore reserves en
dc.subject.other Ore reserves estimation en
dc.subject.other Sampling densities en
dc.subject.other Sampling density en
dc.subject.other Substantial improvements en
dc.subject.other Ores en
dc.title Geostatistics versus inverse distance squares in ore reserves estimation: Comparative case study in copper ore body in Cyprus en
heal.type journalArticle en
heal.identifier.primary 10.1179/174328607X228866 en
heal.identifier.secondary http://dx.doi.org/10.1179/174328607X228866 en
heal.publicationDate 2008 en
heal.abstract The 'Phoenix' copper ore body is located in Cyprus Island. Its reserves were initially estimated by inverse distance square (IDS) algorithm. Ore extraction begun in 1996 and ever since the owner company keeps a detailed file of blast hole samples analyses. These data are used to for a continuous check of the validity of estimation. Even tough sampling was systematic and dense, the results of these checks revealed small discrepancies between the ore body model and reality and therefore it was decided to employ geostatistics to possibly improve the estimation quality even more. The two resulting models were compared to reality inside the exploited area and showed that no substantial improvement occurred due to the employment of geostatistics. The above is in agreement to recent theoretical results which state that, when the sampling density is greater than a critical value, geostatistics and deterministic interpolation methods give similar estimations. The 'Phoenix' copper ore body is located in Cyprus Island. Its reserves were initially estimated by IDS algorithm. Ore extraction begun in 1996 and ever since the owner company keeps a detailed file of blast hole samples analyses. These data are used to for a continuous check of the validity of estimation. Even tough sampling was systematic and dense, the results of these checks revealed small discrepancies between the ore body model and reality and therefore it was decided to employ geostatistics to possibly improve the estimation quality even more. The two resulting models were compared to reality inside the exploited area and showed that no substantial improvement occurred due to the employment of geostatistics. The above is in agreement to recent theoretical results which state that, when the sampling density is greater than a critical value, geostatistics and deterministic interpolation methods give similar estimations. © 2008 Institute of Materials, Minerals and Mining. en
heal.journalName Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology en
dc.identifier.doi 10.1179/174328607X228866 en
dc.identifier.volume 117 en
dc.identifier.issue 1 en
dc.identifier.spage 48 en
dc.identifier.epage 52 en


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