Geologic Control of Mineral Inventory Estimation

Sinclair, A. J.; Blackwell, Garston H.

doi:10.1017/cbo9780511545993.003

Cited by 1 publication

(1 citation statement)

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“…These provide information for the deposit's detailed assessment, known as delineation (Sinclair and Blackwell, 2004); this step is also called geological modeling by authors such as Rossi and Deutsch (2014).…”

Section: Introductionmentioning

confidence: 99%

Geological modeling by an indicator kriging approach applied to a limestone deposit in Indiara city - Goiás

et al. 2017

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The mineral exploration activity consists of a set of successive stages that are interdependent on each other, in which the main goal is to discover and subsequently evaluate a mineral deposit for the feasibility of its extraction. This process involves setting the shape, dimensions and grades for eventual production. Geological modeling determines the orebody's possible format in subsoil, which can be done by two approaches: vertical sections (deterministic methods) or geostatistical methods. The latter approach is currently being preferred, as it is a more accurate alternative and therefore, more reliable for establishing the physical format of orebodies, especially in instances where geologic boundaries are soft and/or with widely spaced sample information. This study uses the concept of indicator kriging (IK) to model the geologic boundaries of a limestone deposit located at Indiara city, Goiás State, Brazil. In general, the results indicated a good adherence in relation to samples. However, there are reasonable differences, particularly in lithological domains with a small number of samples in relation to the total amount sampled. Therefore, the results showed that there is a need for additional sampling to better delineate the geological contacts, especially between carbonate and non-carbonate rocks. Uncertainty maps confirmed this necessity and also indicated potential sites for future sampling; information that would not be obtained by usage of deterministic methods.

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Section: Introductionmentioning

confidence: 99%