Are you ready to amplify your academic presence and connect with a global network of researchers? Join the Scholar Indexing Society and elevate your research to new heights!
This study investigates
the optimization of open pit design using the Lerchs-Grossman (LG) method
within the Minesight Economic Planner software, focusing on the Volcanogenic
Massive Sulphide (VMS) orebody at the Bisha Mining Share Company in Eritrea,
East Africa. The primary objective is to develop an optimized pit outline that
ensures both profitability and safety, considering geological, geotechnical,
and economic factors. The research employs a systematic methodology
encompassing literature review, comprehensive data collection, and iterative
pit optimization and design processes. Key inputs include geological data,
geotechnical parameters, and economic variables such as fluctuating metal
prices. Geotechnical assessments by BGC Engineering provided critical insights
into slope stability and rock mass characteristics, which are essential for safe pit
design. The LG method facilitated the generation of optimized pit shells, refined to produce detailed pit designs incorporating practical mining
considerations. Results indicated an optimized pit containing 28.31 million
tonnes of ore with significant gold, silver, copper, and zinc grades, with a
minimal deviation of 2% from the detailed design. This study underscores the
efficacy of integrating advanced computational tools and multidisciplinary data
in open pit optimization, demonstrating the approach's robustness in achieving
feasible and profitable mining operations. The findings also highlight the
importance of dynamic economic modeling and continuous geotechnical evaluation
to adapt to market fluctuations and ensure long-term operational stability.
This research contributes valuable methodologies and insights for the mining
industry, promoting enhanced efficiency, safety, and sustainability in open-pit
mining practices.