Mining of Mineral Deposits

ISSN 2415-3443 (Online)

ISSN 2415-3435 (Print)

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Geomechanical classification of the downstream section of the Ighrem Aousser Deposit with determination of optimal spacing for mine workings

Khalid Hossayni1, Abdelaziz Lahmili1

1Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat, Morocco


Min. miner. depos. 2025, 19(2):56-64


https://doi.org/10.33271/mining19.02.056

Full text (PDF)


      ABSTRACT

      Purpose. The paper seeks to classify the downstream rock mass of the Ighrem Aousser (I/A) mine and examines its fractu-ring in order to determine the optimal distance between mine workings.

      Methods. The study starts with a geo-mechanical classification of the rock mass using widely recognized methods: Rock Quality Designation (RQD), Rock Mass Rating (RMR), Q-Barton, Geological Strength Index (GSI), and Rock Mass Index (RMI). Fracturing surveys were then carried out to identify the primary fracture families using DIPS software. Finally, PHASE 2 software was employed to determine the optimal distance between galleries.

      Findings. This study presents a comprehensive geological and geomechanical analysis of the Ighrem Aousser (I/A) mine, including field observations, core drilling, and structural analysis using DIPS software. The rock mass was found to be highly fractured and altered, particularly within the mineralized zones. Laboratory tests show a UCS of 58.79 MPa for flysh, and RQD values are 66.2 for flysh and 48.5 for mineralized zones. The RMR ranges from 28 to 45, and Barton’s Q-values vary from 0.8 to 3.7, indicating poor to fair rock quality. Numerical modeling suggests an optimal distance of 16 to 17 meters between vein drifts and main mine workings for improved stability and safety as the mine deepens.

      Originality. This study offers a comprehensive classification and structural analysis of the downstream I/A rock mass to propose the optimal distance between the vein drifts (GF) and the main mine workings (VM). This integrated approach not only enhances the understanding of rock mass behavior but also ensures improved safety, stability, and productivity in mining operations, establishing a new benchmark for sustainable mining development.

      Practical implications. In the mining industry, classifying rock masses, designing excavation supports, and determining the optimal distance between galleries improve safety, boost site productivity by reducing contamination, and lower mining costs.

      Keywords: empirical classifications, rock mass, fracturing, support, DIPS, UNWEDGE, PHASE 2


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