Dilution and ore loss are important factors that can affect costs and profitability of a mining operation by lowering the quantity of mineral or metal that can be produced from each ton of processed ore. When discussing open-pit mining, dilution and ore loss are sometimes assumed as fixed factors in geostatistical block models and cut-off grade calculations, without considering specific particularities of the deposit and operation. This paper proposes to quantify the dilution caused by operational inefficiency through identifying the ore blocks that are a part of the short-term plans and mapping their neighbourhood, considering the nature of the contacts and the differences in grades. This technique enables the operational dilution to be calculated. It is applicable for operations using mechanical excavation and/or blasting. The results demonstrate that operational dilution can be measured and controlled to improve the tonnage and grade reconciliation between planning and production.

Operational dilution in open-pit mining can influence short-term mine planning and affect the adherence between designed and executed plans, impacting the reconciliation results. This type of dilution may occur due to several reasons, such as erroneous assumptions regarding contacts, inefficient mining performance, and uncertainties associated with the planned grades. The use of uncertainties enables better predictability and achievement of planned targets. Using the mine planning polygons and grade models, a methodology is proposed to measure the dilution ranges in each region. The methodology considers the uncertainty associated with the ore grades to verify the probability of occurrence of dilution in the short-term mine plan. The results demonstrated that the use of uncertainties enabled identification of the areas with a higher potential of incurring operational dilution. Using this information, the plans can be adjusted to minimize dilution, or the result can be used as a factor to correct the planned data.