The influence of variable anisotropic search parameters on implicitly-modelled volumes and estimated contained metal in a structurally-complex gold deposit

Stoch, B.; Basson, I.J.; Gloyn-Jones, Jonathan; Lomberg, K.G.

doi:10.1016/j.oregeorev.2022.104719

Ore Geology Reviews

2022

DOI: 10.1016/j.oregeorev.2022.104719

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The influence of variable anisotropic search parameters on implicitly-modelled volumes and estimated contained metal in a structurally-complex gold deposit

B. Stoch¹,

I.J. Basson

Jonathan Gloyn-Jones³

et al.

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Cited by 3 publications

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Uncertainty Quantification in Mineral Resource Estimation

Lindi,

Aladejare,

Ozoji

et al. 2024

Nat Resour Res

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Mineral resources are estimated to establish potential orebody with acceptable quality (grade) and quantity (tonnage) to validate investment. Estimating mineral resources is associated with uncertainty from sampling, geological heterogeneity, shortage of knowledge and application of mathematical models at sampled and unsampled locations. The uncertainty causes overestimation or underestimation of mineral deposit quality and/or quantity, affecting the anticipated value of a mining project. Therefore, uncertainty is assessed to avoid any likely risks, establish areas more prone to uncertainty and allocate resources to scale down potential consequences. Kriging, probabilistic, geostatistical simulation and machine learning methods are used to estimate mineral resources and assess uncertainty, and their applicability depends on deposit characteristics, amount of data available and expertise of technical personnel. These methods are scattered in the literature making them challenging to access when needed for uncertainty quantification. Therefore, this review aims to compile information about uncertainties in mineral resource estimation scatted in the literature and develop a knowledge base of methodologies for uncertainty quantification. In addition, mineral resource estimation comprises different interdependent steps, in and through which uncertainty accumulates and propagates toward the final estimate. Hence, this review demonstrates stepwise uncertainty propagation and assessment through various phases of the estimation process. This can broaden knowledge about mineral resource estimation and uncertainty assessment in each step and increase the accuracy of mineral resource estimates and mining project viability.

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Uncertainty Quantification in Mineral Resource Estimation

Lindi,

Aladejare,

Ozoji

et al. 2024

Nat Resour Res

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show abstract

Specification and formation process of enriched portions in Au veins in an epithermal deposit via clustering and geostatistical approaches

de Sá,

Muraoka,

Koike

et al. 2024

Ore Geology Reviews

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Towards quantifying uncertainties in geological models for mineral resource estimation through outside-in deposit-scale structural geological analysis

Reid

Cowan

2023

Australian Journal of Earth Sciences

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The influence of variable anisotropic search parameters on implicitly-modelled volumes and estimated contained metal in a structurally-complex gold deposit

Cited by 3 publications

References 39 publications

Uncertainty Quantification in Mineral Resource Estimation

Uncertainty Quantification in Mineral Resource Estimation

Specification and formation process of enriched portions in Au veins in an epithermal deposit via clustering and geostatistical approaches

Towards quantifying uncertainties in geological models for mineral resource estimation through outside-in deposit-scale structural geological analysis

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