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Conference Proceedings

Tenth International Mining Geology Conference 2017

Conference Proceedings

Tenth International Mining Geology Conference 2017

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The practical use of underground 3D photogrammetry data at MMG Rosebery polymetallic mine, Tasmania, Australia

3D photogrammetry is a powerful tool for data capture and interpretation, utilised at all Australian underground MMG sites. In personnel constrained mines, 3D photogrammetry can free up personnel time, improve data quality for resource modelling, as well as benefit other mining departments.At Rosebery one of the challenges faced by geologists was no longer data capture but, rather, avoiding paralysis by analysis from the sheer abundance of information currently available to the department. Although the data had been interpreted, the structural model was cluttered; the geological block model was not incorporating any geological domains captured by 3D photogrammetry, nor was it being utilised by other departments such as geotechnical engineering.The geology department is now focusing on utilising all the interpreted data gained from each photograph heading into an uncluttered, easily understandable model for geologists and other mining departments.Our solutions involve integrating the Leapfrog modelling suite into the process, streamlining the structural model, tailoring the data interpretations for future updates of the block model and training other departments to improve utilisation of the interpreted data. This process also uncovered other benefits for near-mine exploration, and improving our understanding of the deposit's origin.CITATION:Robertson, M, 2017. The practical use of underground 3D photogrammetry data at MMG Rosebery polymetallic mine, Tasmania, Australia, in Proceedings Tenth International Mining Geology Conference 2017, pp 409-412 (The Australasian Institute of Mining and Metallurgy: Melbourne).
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  • The practical use of underground 3D photogrammetry data at MMG Rosebery polymetallic mine, Tasmania, Australia
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  • Published: 2017
  • PDF Size: 1.184 Mb.
  • Unique ID: P201707047

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