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Advanced Analytics for Surface Mining

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Advanced Analytics in Mining Engineering

Abstract

Surface extracting is the most widely used mining method globally. Surface mining can be divided into open-pit and open-cut methods of metal and coal mining. The surface mining will be more complicated when the depth of the pit increases, and the miners need to go deeper to reach the ore. Advanced analytics and using the new technology can potentially help mining companies find a cost-effective way to extract material. However, using advanced analytics needs fundamental requirements, such as a modern data collection system. In addition, applying advanced analytics is useful in different aspects such as prediction and optimization. This chapter tries to clarify the role of advanced analytics to improve surface mining operations, including design, plan, load, haul, crush, and equipment maintenance.

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Author information

Authors and Affiliations

  1. Mining Engineering and Management, South Dakota School of Mines and Technology, Rapid City, SD, USA

    Danish Ali

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  1. Danish Ali
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Correspondence to Danish Ali .

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Editors and Affiliations

  1. Artificial Intelligence Center, Vale, WA, Australia

    Ali Soofastaei

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Ali, D. (2022). Advanced Analytics for Surface Mining. In: Soofastaei, A. (eds) Advanced Analytics in Mining Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-91589-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-91589-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91588-9

  • Online ISBN: 978-3-030-91589-6

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