Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
Author(s) -
Edgar M Marín Ballón,
Hugo Jimenéz-Pacheco,
Máximo O. M. Rondón Rondón,
Antonio Erick Linares Flores Castro,
Ferly E. Urday Luna
Publication year - 2019
Publication title -
veritas
Language(s) - English
Resource type - Journals
eISSN - 2617-8818
pISSN - 1684-7822
DOI - 10.35286/veritas.v20i1.227
Subject(s) - geostatistics , kriging , estimation , variable (mathematics) , software , process (computing) , foundation (evidence) , mineral exploration , computer science , data mining , relevance (law) , geology , spatial variability , statistics , machine learning , mathematics , engineering , geophysics , geography , systems engineering , archaeology , law , political science , programming language , mathematical analysis , operating system
The Geostatistics provides effective tools for the solution of many problems of engineering in which the location in the space of the variable under study is considered, based on definitions of mathematics that provide the necessary foundation for its application. In particular, the Geostatistics are applied in the spatial estimation of the recoverable reserves of mineral deposits. The geostatistical methods that are used in the estimation of mineral deposits are implemented in industrial software and consider the evaluation of the complex geological structure, but these softwares only display the obtained results with an input data and do not exhibit the concepts that they use during the process or the methodology of its application. This happens particularly with the Kriging method, which is based on the assumption of strict stationarity, taking into account changes in the mean and local variations, therefore unreliable. In this study is established to review the Kriging method, its application in the estimation of the recoverable reserves of mining deposits and the relevance of the developed model established particularly in mines of Peru, which use this method as part of the mining exploration for the evaluation of the feasibility of exploitation. INFORMACIÓN Historia del Artículo Recepción: 20/02/2019 Revisión: 23/04/2019 Aceptación: 20/05/2019
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