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dc.contributor.authorSajith Vezhapparambu, Veena
dc.contributor.authorEidsvik, Jo
dc.contributor.authorEllefmo, Steinar Løve
dc.date.accessioned2019-02-22T09:29:22Z
dc.date.available2019-02-22T09:29:22Z
dc.date.created2018-11-30T09:42:19Z
dc.date.issued2018
dc.identifier.citationMinerals. 2018, 8 (9), .nb_NO
dc.identifier.issn2075-163X
dc.identifier.urihttp://hdl.handle.net/11250/2586946
dc.description.abstractMeasurement while drilling (MWD) data are gathered during drilling operations and can provide information about the strength of the rock penetrated by the boreholes. In this paper MWD data from a marble open-pit operation in northern Norway are studied. The rock types are represented by discrete classes, and the data is then modeled by a hidden Markov model (HMM). Results of using different MWD data variables are studied and presented. These results are compared and co-interpreted with optical televiewer (OTV) images, magnetic susceptibility and spectral gamma values collected in the borehole using down-the-hole sensors. A model with penetration rate, rotation pressure and dampening pressure data show a good visual correlation with OTV image for the studied boreholes. The marble class is characterized by medium penetration rate and medium rotation pressure, whereas the intrusions are characterized by low penetration rate and medium to high rotation pressure. The fractured marble is characterized by high penetration rate, high rotation and low dampening pressure. Future research will use the presented results to develop a heterogeneity index, develop an MWD-based 3D-geology model and an improved sampling strategy and investigate how to implement this in the mine planning process and reconciliation.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPInb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleRock Classification Using Multivariate Analysis of Measurement While Drilling Data: Towards a Better Sampling Strategynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber23nb_NO
dc.source.volume8nb_NO
dc.source.journalMineralsnb_NO
dc.source.issue9nb_NO
dc.identifier.doi10.3390/min8090384
dc.identifier.cristin1637312
dc.relation.projectNorges forskningsråd: 236638nb_NO
dc.description.localcode(C) 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).nb_NO
cristin.unitcode194,64,90,0
cristin.unitcode194,63,15,0
cristin.unitnameInstitutt for geovitenskap og petroleum
cristin.unitnameInstitutt for matematiske fag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal