Ore Petrography Using Optical Image Analysis: Application to Zaruma-Portovelo Deposit (Ecuador)

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dc.contributor.author Berrezueta Alvarado, Edgar Raúl
dc.contributor.author Ordóñez Casado, Berta
dc.contributor.author Bonilla, Wilson
dc.contributor.author Banda, Richard
dc.contributor.author Castroviejo, Ricardo
dc.contributor.author Carrión, Paul
dc.contributor.author Puglla, Stalin
dc.date.accessioned 2020-09-28T10:52:38Z
dc.date.available 2020-09-28T10:52:38Z
dc.date.issued 2016-06-21
dc.identifier.citation Geosciences, 2016, v.6 n. 2, 30 es_ES
dc.identifier.issn 2076-3263
dc.identifier.uri http://hdl.handle.net/20.500.12468/416
dc.description.abstract Optical image analysis (OIA) supporting microscopic observation can be applied to improve ore mineral characterization of ore deposits, providing accurate and representative numerical support to petrographic studies, on the polished section scale. In this paper, we present an experimental application of an automated mineral quantification process on polished sections from Zaruma-Portovelo intermediate sulfidation epithermal deposit (Ecuador) using multispectral and color images. Minerals under study were gold, sphalerite, chalcopyrite, galena, pyrite, pyrrhotite, bornite, hematite, chalcocite, pentlandite, covellite, tetrahedrite and native bismuth. The aim of the study was to quantify the ore minerals visible in polished section through OIA and, mainly, to show a detailed description of the methodology implemented. Automated ore identification and determination of geometric parameters predictive of geometallurgical behavior, such as grade, grain size or liberation, have been successfully performed. The results show that automated identification and quantification of ore mineral images are possible through multispectral and color image analysis. Therefore, the optical image analysis method could be a consistent automated mineralogical alternative to carry on detailed ore petrography. es_ES
dc.description.sponsorship Unidad de Oviedo, Instituto Geológico y Minero de España, España es_ES
dc.description.sponsorship Consultor-Auditor Minero Freelance, Ecuador es_ES
dc.description.sponsorship Universidad de Guayaquil, Ecuador es_ES
dc.description.sponsorship Universidad Politécnica de Madrid, España es_ES
dc.description.sponsorship Compañía Minera PL S.A, Ecuador es_ES
dc.language.iso en es_ES
dc.publisher Multidisciplinary Digital Publishing Institute es_ES
dc.relation Minería XXI Project, CYTED: 310RT0402 es_ES
dc.rights Acceso abierto es_ES
dc.subject optical image analysis es_ES
dc.subject multispectral images es_ES
dc.subject color images es_ES
dc.subject ore minerals es_ES
dc.subject optical microscopy es_ES
dc.title Ore Petrography Using Optical Image Analysis: Application to Zaruma-Portovelo Deposit (Ecuador) es_ES
dc.type Postprint es_ES
dc.relation.publisherversion https://www.mdpi.com/2076-3263/6/2/30 es_ES
dc.identifier.doi https://doi.org/10.3390/geosciences6020030 es_ES
dc.coverage.spatialStudy Ecuador es_ES


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