A modern mining company, · Inferred Mineral Resources: 11% The modifying factors used in the estimation of the Ore Reserve were also applied to the Indicated Resources and Inferred Resources. There is a low level of geological confidence associated with Inferred Mineral Resources andTSX: IMG NYSE: IAG NEWS RELEASE, · expansion, capital expenditures and exploration expenditures and statements regarding the estimation of mineral resources, exploration results, potential mineralization, potential mineral resources and mineral reserves) are forward-looking statements.Inferred Resources, · Mineral resources do not have to demonstrate economic viability, but have reasonable prospects for eventual economic extraction. They fall into three categories: measured, indicated and inferred. Our reported mineral resources are exclusive of mineral reserves. ...Quantitative mineral, · Quantitative mineral-resource assessments are defined as the numerical estimate of the amount, quality, and in some cases, value of undiscovered minerals (that is, metal or industrial mineral) present within a specified area (tract). Their purpose is to provide a framework for making decisions by governments or institutions concerning mineral ...NetNewsLedger, · Mineral Resources are not Mineral Reserves and do not have demonstrated economic viability. Mineral Resources are inclusive of Mineral Reserves. In-Pit results are presented undiluted within a merged surface of the pit optimization shell 24 and the pit design, using a US$1250 gold price and a revenue factor 0.78..
Updated Mineral Resource Estimate, · The Mineral Resource is reported above a cut-off grade of 3% Zn which was based on the mining cut-off grade for the operation. Table 1: Plomosas April 2020 Mineral Resources Estimate Mining Depleted to 31 December, 2019 (3% Zn cut off) Indicated MineralGeologic characteristics and potential of bauxite in China, · The adopted method for the estimation of regional bauxite mineral resources namely the integrated information assessment methods based on the deposit model (Xiao et al., 2010a, Xiao et al., 2010b, Ye, 2013; Ye et al., 2007; Cong et al., 2017, Zhang et al., 2017