Impacts of downtimes mitigation related to face drilling rigs in mining development cycles

• Autorzy: Bermúdez Sebastian Arenas , Otalora Cristian Gerardo Zapata , Escobar Jorge Martin Molina

Identyfikatory

DOI

10.24425/ams.2021.136696

• Języki publikacji: EN

Abstrakty

EN

Underground mining development is directly related to face drilling rig performance. Reducing operating costs and improving productivity are current and crucial topics for mining projects around the world within the development phase. Unlike past approaches, this article is based on variations of equipment availability and utilisation, and their impact on development plans success and costs decrease. To assess the influence of these parameters, daily field data were collected to identify major downtimes in normal cycles and apply adequate corrective measures to mitigate them. Additionally, this article presents the reader with a graphic illustration of the correlation between utilisation and development, including historical data. This paper was developed from October 2017 to March 2018. The result of this study seeks to identify when projects generate profits by comparing four situations with constant productivity, but variables such as the possession rate, maintenance fee, production and utilisation. Finally, it is demonstrated that success in mining projects, related to equipment, is proportional to the utilisation of the fleet, with the correct management of productivities.

Słowa kluczowe

EN

availability; utilisation; downtime; Jumbo

PL

górnictwo; sprzęt górniczy; przemysł węglowy

• Wydawca: Instytut Mechaniki Górotworu PAN
• Czasopismo: Archives of Mining Sciences
• Rocznik: 2021
• Tom: Vol. 66, no. 1
• Strony: 125--132
• Opis fizyczny: Bibliogr. 6 poz., tab., wykr.

Twórcy

autor

Bermúdez Sebastian Arenas

• Universidad Nacional de Colombia, Mines Faculty, Colombia

• https://orcid.org/0000-0003-2695-0699

autor

Otalora Cristian Gerardo Zapata

• Universidad Nacional de Colombia, Mines Faculty, Colombia

autor

Escobar Jorge Martin Molina

• Universidad Nacional de Colombia, Mines Faculty, Colombia

• https://orcid.org/0000-0002-6068-2571

Bibliografia

• [1] S. Elevli, B. Elevli, Performance Measurement of Mining Equipments by Utilizing OEE. Acta Montan. Slovaca 15, 95-101 (2010),
• [2] C. Hegde, K.E. Gray, Use of machine learning and data analytics to increase drilling efficiency for nearby wells. Journal of Natural Gas Science and Engineering 40, 327-335 (2017). https://doi.org/10.1016/j.jngse.2017.02.019.
• [3] B . A. Kansake, R. S. Suglo, Impact of Availability and Utilization of Drill Rigs on Production at Kanjole Minerals Limited. International Journal of Science, Environment and Technology 4, 6, 1524-1537.
• [4] J. Valivaara, Automated Drilling Features for Improving Productivity and Reducing Costs in Underground Development. Global Trends, 9-11.
• [5] B . Samatemba, L. Zhang, Evaluating and optimizing the effectiveness of mining equipment; the case of Chibuluma South underground mine. Journal of Cleaner Production 252 119697 (2020).
• [6] D . Henao, MBA thesis, Aplicación de la Metodología Kaizen a las operaciones en la mina en la empresa de explotación de cobre Miner S.A. Universidad Eafit, Escuela de Administración, Medellín (2019).

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)