Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions

Wenpeng Liu, Asok Ray, Jamal Rostami, Samer S. Saab

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Ground instability, such as roof or rib failures, is one of the most serious and frequent safety hazards that occur in underground mining, tunneling, and underground construction. The ground-related parameters and features of interest, in assessing roof or rib failures, are location, frequency, and orientation of the joints, voids, as well as rock-strength. These parameters are the main components of rock mass characterization that offers effective strategies for ground support, which, in turn, allow one to mitigate the risks related to ground instability. The main objective of this study is to determine the location of joints and classify rock-strengths by analyzing the drilling data recorded from an instrumented roof bolter while drilling for rock bolt installation during the operational cycle. For this purpose, computer programs based on updated pattern recognition algorithms were developed for joint-detection and classification of rock types to offer an estimated strength. This paper briefly introduces ongoing research on joint detection, especially for joints with an aperture less than 0.125in (3.175mm), by employing an instrumented roof bolter in controlled environments. To improve the capability and precision of joint detection programs in detecting the joints from the drilling data and reducing the number of false alarms, many laboratory tests with various simulated joints and rock-strengths were carried out at a J.H. Fletcher & Co. facility. This paper reviews testing procedures, data analysis, updated algorithms used for joint detection, and discusses the latest round of testing in samples with simulated joints at various angles along the borehole.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017
    EditorsMichael Murphy, Brijes Mishra, Kyle Perry, Heather Lawson
    PublisherSociety for Mining, Metallurgy and Exploration (SME)
    Pages297-303
    Number of pages7
    ISBN (Electronic)9780873354561
    StatePublished - Jan 1 2017
    Event36th International Conference on Ground Control in Mining, ICGCM 2017 - Morgantown, United States
    Duration: Jul 25 2017Jul 27 2017

    Publication series

    NameProceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017

    Conference

    Conference36th International Conference on Ground Control in Mining, ICGCM 2017
    CountryUnited States
    CityMorgantown
    Period7/25/177/27/17

    Fingerprint

    Roofs
    roof
    Drilling
    Rocks
    drilling
    rock
    Tunneling (excavation)
    Ground supports
    underground construction
    Testing
    Bolts
    Boreholes
    bolt
    pattern recognition
    Pattern recognition
    parameter
    analysis
    detection
    Computer program listings
    Hazards

    All Science Journal Classification (ASJC) codes

    • Geochemistry and Petrology

    Cite this

    Liu, W., Ray, A., Rostami, J., & Saab, S. S. (2017). Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions. In M. Murphy, B. Mishra, K. Perry, & H. Lawson (Eds.), Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017 (pp. 297-303). (Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017). Society for Mining, Metallurgy and Exploration (SME).
    Liu, Wenpeng ; Ray, Asok ; Rostami, Jamal ; Saab, Samer S. / Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions. Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017. editor / Michael Murphy ; Brijes Mishra ; Kyle Perry ; Heather Lawson. Society for Mining, Metallurgy and Exploration (SME), 2017. pp. 297-303 (Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017).
    @inproceedings{3875123edb434a00b57f172062dd4f6a,
    title = "Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions",
    abstract = "Ground instability, such as roof or rib failures, is one of the most serious and frequent safety hazards that occur in underground mining, tunneling, and underground construction. The ground-related parameters and features of interest, in assessing roof or rib failures, are location, frequency, and orientation of the joints, voids, as well as rock-strength. These parameters are the main components of rock mass characterization that offers effective strategies for ground support, which, in turn, allow one to mitigate the risks related to ground instability. The main objective of this study is to determine the location of joints and classify rock-strengths by analyzing the drilling data recorded from an instrumented roof bolter while drilling for rock bolt installation during the operational cycle. For this purpose, computer programs based on updated pattern recognition algorithms were developed for joint-detection and classification of rock types to offer an estimated strength. This paper briefly introduces ongoing research on joint detection, especially for joints with an aperture less than 0.125in (3.175mm), by employing an instrumented roof bolter in controlled environments. To improve the capability and precision of joint detection programs in detecting the joints from the drilling data and reducing the number of false alarms, many laboratory tests with various simulated joints and rock-strengths were carried out at a J.H. Fletcher & Co. facility. This paper reviews testing procedures, data analysis, updated algorithms used for joint detection, and discusses the latest round of testing in samples with simulated joints at various angles along the borehole.",
    author = "Wenpeng Liu and Asok Ray and Jamal Rostami and Saab, {Samer S.}",
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    Liu, W, Ray, A, Rostami, J & Saab, SS 2017, Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions. in M Murphy, B Mishra, K Perry & H Lawson (eds), Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017. Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017, Society for Mining, Metallurgy and Exploration (SME), pp. 297-303, 36th International Conference on Ground Control in Mining, ICGCM 2017, Morgantown, United States, 7/25/17.

    Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions. / Liu, Wenpeng; Ray, Asok; Rostami, Jamal; Saab, Samer S.

    Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017. ed. / Michael Murphy; Brijes Mishra; Kyle Perry; Heather Lawson. Society for Mining, Metallurgy and Exploration (SME), 2017. p. 297-303 (Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AU - Rostami, Jamal

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    Liu W, Ray A, Rostami J, Saab SS. Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions. In Murphy M, Mishra B, Perry K, Lawson H, editors, Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017. Society for Mining, Metallurgy and Exploration (SME). 2017. p. 297-303. (Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017).