Field parametric geostatistics - An alternative to tackle gold grade estimations
Abstract High anomalous grades are very common in gold deposits, whose presence requires careful treatment to prevent overestimation of metal content. Mineral resource analysts have worked on the estimation of several gold deposits, and none of the classical methods were able to avoid manual interve...
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| Format: | Article |
| Language: | English |
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Fundação Gorceix
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| Series: | REM: International Engineering Journal |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000100167&lng=en&tlng=en |
| _version_ | 1818671782739050496 |
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| author | Rochana da Silva Machado João Felipe Coimbra Leite Costa |
| author_facet | Rochana da Silva Machado João Felipe Coimbra Leite Costa |
| author_sort | Rochana da Silva Machado |
| collection | DOAJ |
| description | Abstract High anomalous grades are very common in gold deposits, whose presence requires careful treatment to prevent overestimation of metal content. Mineral resource analysts have worked on the estimation of several gold deposits, and none of the classical methods were able to avoid manual interventions, such as cutting high grades for local estimation or using more information beyond the data for the variogram inference. The Field Parametric Geostatistics (FPG) is presented as an alternative for the application of linear kriging methods to estimate highly skewed distributions, proposing a mathematical model which incorporates the grades and its representativeness into a new variable, reducing the influence of high grades without empirical manual interventions. In this article, the mathematical formulation of the FPG theory is presented, as well as its application in datasets with outliers and high skewed distributions: the Walker Lake dataset and the Amapari gold deposit. The results are compared to results obtained by the application of standard techniques, demonstrating that FPG is a feasible alternative to estimate local grades and local reserves for highly skewed variables. |
| first_indexed | 2024-12-17T07:29:29Z |
| format | Article |
| id | doaj.art-1644207af1864800a7e169170ca609f7 |
| institution | Directory Open Access Journal |
| issn | 2448-167X |
| language | English |
| last_indexed | 2024-12-17T07:29:29Z |
| publisher | Fundação Gorceix |
| record_format | Article |
| series | REM: International Engineering Journal |
| spelling | doaj.art-1644207af1864800a7e169170ca609f72022-12-21T21:58:32ZengFundação GorceixREM: International Engineering Journal2448-167X72116717210.1590/0370-44672018720085S2448-167X2019000100167Field parametric geostatistics - An alternative to tackle gold grade estimationsRochana da Silva MachadoJoão Felipe Coimbra Leite CostaAbstract High anomalous grades are very common in gold deposits, whose presence requires careful treatment to prevent overestimation of metal content. Mineral resource analysts have worked on the estimation of several gold deposits, and none of the classical methods were able to avoid manual interventions, such as cutting high grades for local estimation or using more information beyond the data for the variogram inference. The Field Parametric Geostatistics (FPG) is presented as an alternative for the application of linear kriging methods to estimate highly skewed distributions, proposing a mathematical model which incorporates the grades and its representativeness into a new variable, reducing the influence of high grades without empirical manual interventions. In this article, the mathematical formulation of the FPG theory is presented, as well as its application in datasets with outliers and high skewed distributions: the Walker Lake dataset and the Amapari gold deposit. The results are compared to results obtained by the application of standard techniques, demonstrating that FPG is a feasible alternative to estimate local grades and local reserves for highly skewed variables.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000100167&lng=en&tlng=enkrigingoutliersskewed distributiongold |
| spellingShingle | Rochana da Silva Machado João Felipe Coimbra Leite Costa Field parametric geostatistics - An alternative to tackle gold grade estimations REM: International Engineering Journal kriging outliers skewed distribution gold |
| title | Field parametric geostatistics - An alternative to tackle gold grade estimations |
| title_full | Field parametric geostatistics - An alternative to tackle gold grade estimations |
| title_fullStr | Field parametric geostatistics - An alternative to tackle gold grade estimations |
| title_full_unstemmed | Field parametric geostatistics - An alternative to tackle gold grade estimations |
| title_short | Field parametric geostatistics - An alternative to tackle gold grade estimations |
| title_sort | field parametric geostatistics an alternative to tackle gold grade estimations |
| topic | kriging outliers skewed distribution gold |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000100167&lng=en&tlng=en |
| work_keys_str_mv | AT rochanadasilvamachado fieldparametricgeostatisticsanalternativetotacklegoldgradeestimations AT joaofelipecoimbraleitecosta fieldparametricgeostatisticsanalternativetotacklegoldgradeestimations |