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A Review of Artificial Intelligence Applications in Mining and Geological Engineering

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Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 109))

Abstract

Artificial intelligence (AI) is well-known as a robust technique that can support and improve the quality of human life. In the mining industry, applications of AI changed the sciences and technologies, as well as the performance of the mining industry, especially in mining and geological engineering. Smart mines were introduced and widely applied around the world with advanced technologies based on the applications of AI. This paper aims to provide a comprehensive view of AI applications in mining and geological engineering, as well as the ideas for studies in the future. The paper focuses on the published papers of AI applications in rock mechanics, mining method selection, mining equipment, drilling-blasting, slope stability, environmental issues, and relevant geological engineering. The advantages and disadvantages of AI applications in mining and geological engineering will be analyzed and discussed in detail.

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Acknowledgments

The authors would like to thank the Center for Mining, Electro-Mechanical research of Hanoi University of Mining and Geology (HUMG), Hanoi, Vietnam, and the research team of Innovations for Sustainable and Responsible Mining (ISRM) of HUMG.

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Authors and Affiliations

  1. Department of Surface Mining, Mining Faculty, Hanoi University of Mining and Geology, 18 Pho Vien, Duc Thang Ward, Bac Tu Liem District, Hanoi, 100000, Vietnam

    Xuan-Nam Bui & Hoang Nguyen

  2. Center for Mining, Electro-Mechanical Research, Hanoi University of Mining and Geology, 18 Pho Vien, Duc Thang Ward, Bac Tu Liem District, Hanoi, 100000, Vietnam

    Xuan-Nam Bui & Hoang Nguyen

  3. Faculty of Geosciences and Geoengineering, Hanoi University of Mining and Geology, 18 Vien st., Duc Thang Ward, Bac Tu Liem District, Hanoi, 100000, Vietnam

    Hoang-Bac Bui

  4. Center for Excellence in Analysis and Experiment, Hanoi University of Mining and Geology, 18 Vien st., Duc Thang Ward, Bac Tu Liem District, Hanoi, 100000, Vietnam

    Hoang-Bac Bui

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  1. Xuan-Nam Bui
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  2. Hoang-Bac Bui
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  3. Hoang Nguyen
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Correspondence to Xuan-Nam Bui .

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Editors and Affiliations

  1. Hanoi University of Mining and Geology, Hanoi, Vietnam

    Xuan-Nam Bui

  2. Department of Energy and Mineral Resources Engineering, Dong-A University, Busan, Korea (Republic of)

    Changwoo Lee

  3. Institute of Mining and Special Engineering, TU Bergakademie Freiberg, Freiberg, Germany

    Carsten Drebenstedt

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Bui, XN., Bui, HB., Nguyen, H. (2021). A Review of Artificial Intelligence Applications in Mining and Geological Engineering. In: Bui, XN., Lee, C., Drebenstedt, C. (eds) Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining. Lecture Notes in Civil Engineering, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-030-60839-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-60839-2_7

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