Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3150
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNaik, H K-
dc.contributor.authorDas, Pritish-
dc.date.accessioned2019-01-03T10:56:05Z-
dc.date.available2019-01-03T10:56:05Z-
dc.date.issued2018-12-
dc.identifier.citationInternational Conference on Opencast Mining Technology and Sustainability (ICOMS 2018), Singrauli, India, 14-15 December 2018en_US
dc.identifier.urihttp://hdl.handle.net/2080/3150-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractAs the world is developing, the raw materials demand has been increasing day by day. To fulfill both supply and demand, a more technologically advanced and automated method of production is required. Since the raw materials are nonrenewable and have taken million years to form, so these resources should be used rationally, and maximum level of extraction should be acquired with least mining waste side by side maintaining all safety and regulations judiciously. This paper aims at estimating the reserve of a typical iron ore mine using different techniques, such as solid modeling and block modeling techniques. Different optimization methods are used for monitoring the grade of the ore body by using SURPAC software. Moreover, the ultimate pit limit has also been determined with the help of which the shape of the pit has been optimized using different slice plans through this software so that the pit does not cross the lease boundary of the mine. Besides this an attempt has been made to mine the blocks of the ore body graphically followed by generation of a work order in which the required tonnage of ore production ordered by the mine management can be fulfilled at any point of time during the development of the pit.en_US
dc.subjectSURPACen_US
dc.subjectSolid modelingen_US
dc.subjectBlock modelingen_US
dc.subjectUltimate pit limiten_US
dc.subjectSlice plansen_US
dc.titleOptimization study of a Surface Mine and Grade Monitoring using SURPACen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2018_ICOMS_HKNaik_OptimizationStudy.pdfConference paper1.06 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.