Mathematical Model of a Drilling Mesh to Reduce Dilution in the Sublevel Stoping Method in Peru’s Underground Mines

Yadira Zelaya-Reyes, Luis Arauzo-Gallardo, Guillemo Diaz-Huaina, Carlos Raymundo, Nestor Mamani-Macedo, Javier M. Moguerza

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

Abstract

© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. This research study focuses on creating a drill pattern for the Condestable mine, which will allow us to assess the percentage of dilution. For these purposes, we used the Pearse formula proposed in 1955, which allowed us to find the burden and later, the spacing that each drill hole should have in the pattern. Once we had collected all the numerical data, we used the JK SimBlast program to design the proposed drill pattern and analyze the damage zones, the tonnage acquired and the existing dilution. According the results obtained, the smaller the hole diameter, the less dilution will be generated when diversifying the wall and ceiling explosives.
Original languageAmerican English
Title of host publicationMathematical Model of a Drilling Mesh to Reduce Dilution in the Sublevel Stoping Method in Peru’s Underground Mines
Pages366-373
Number of pages8
ISBN (Electronic)9783030507909
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes
EventAdvances in Intelligent Systems and Computing -
Duration: 1 Jan 2020 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1209 AISC
ISSN (Print)2194-5357

Conference

ConferenceAdvances in Intelligent Systems and Computing
Period1/01/20 → …

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  • Cite this

    Zelaya-Reyes, Y., Arauzo-Gallardo, L., Diaz-Huaina, G., Raymundo, C., Mamani-Macedo, N., & Moguerza, J. M. (2020). Mathematical Model of a Drilling Mesh to Reduce Dilution in the Sublevel Stoping Method in Peru’s Underground Mines. In Mathematical Model of a Drilling Mesh to Reduce Dilution in the Sublevel Stoping Method in Peru’s Underground Mines (pp. 366-373). (Advances in Intelligent Systems and Computing; Vol. 1209 AISC). https://doi.org/10.1007/978-3-030-50791-6_47