Extracting more value from mine data using virtual reality and scientific visualization techniques

dc.contributor.authorVasak, P.
dc.contributor.authorSuorineni, F.T.
dc.date.accessioned2023-07-31T16:12:15Z
dc.date.available2023-07-31T16:12:15Z
dc.date.issued2010-08-07
dc.description.abstractMIRARCO has pioneered the application of large-screen, stereoscopic, virtual reality technology for the mining industry since 2001. The technology is used to evaluate trends in the data to gain insight and understanding at all stages of mine development; from exploration, earth modeling, resource modelling, mine planning and infrastructure layout to the display and visualisation of mine monitoring data. The application of novel scientific and engineering visualization technology provides the means for technical professionals (geologists, engineers, etc.) to gain better understanding and insight from their data. The Laurentian University virtual reality laboratory (VRL) provides the research platform for developing new technology ranging from exploration drillhole location and optimization to mine safety issues such as rockbursts in deep mines. The technology has matured to the point where the research innovations are currently being transferred to the mining industry. Two case studies are presented, the first focuses on optimal drillhole placement for mineral exploration and the second focuses on the installation of a VRL at the deepest mine in the Sudbury Basin to better understand and mitigate rockbursts in deep mines. It is not the quantity or quality of the data, but rather the quality of the decisions that are made based on the data that makes scientific and engineering visualisation techniques in stereoscopic 3D an invaluable resource.en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/733
dc.language.isoenen_US
dc.publisherUniversity of Mines and Technologyen_US
dc.subjectMine dataen_US
dc.subjectVisualization techniquesen_US
dc.titleExtracting more value from mine data using virtual reality and scientific visualization techniquesen_US
dc.typeArticleen_US

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