Abstract

ABSTRACT: In open pit mining operations, the decision to select the ultimate pit slope angle is critical due to its significant impact on safety and economic outcomes like net present value, mine life, operational costs, and safety risks. Recognizing the variability in rock properties and the discrepancies between planned and actual conditions, this paper introduces a robust framework that aligns the monitoring of pit wall conditions with optimizing pit slope angles. We proposed the use of data from the geotechnical model to conduct stability analysis with Rocscience software, combining real-time radar and prism system data. This adaptive approach aims to enhance the stability and safety of mines while optimizing economic returns. Additionally, it utilizes the Whittle software for determining the optimal pit slope angle, balancing safety requirements with operational cost efficiencies. This comprehensive framework promises substantial benefits, including reduced risk of slope failure, extended mine life, and decreased mining costs. Ultimately, by incorporating this methodology into the mining operation decision making process, significant improvement will be seen in safety and economic profitability, marking a significant advancement in open-pit mining management. This paper highlights the importance of adaptive, data-informed decisions in enhancing both the economic viability and safety of mining operations. 1. INTRODUCTION Rock slope failure is one of the main hazards in open-pit mines. This causes about 14% of injuries and deaths of workers at various mines around the world (Aleotti & Chowdhury, 1999). This highlights the critical need for continuous innovative research and solutions aimed at mitigating such risks. It also suggests the need to keep safety a top priority for safe ore production and profitability. While working under safe conditions, it is also germane to consider improved ore recovery for profit maximization. In either way, optimizing pit angle may improve slope stability and increase profit by reducing stripping (Read & Stacey, 2010). However, this task necessitates a comprehensive understanding of the geotechnical parameters and the dynamics of slope movement.

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