A 3D Geological Model of a Vein Deposit Built by Aggregating Morphological and Mineral Grade Data
The objective of this study was to establish a methodology for building a 3D geological model of a mineral vein deposit, encompassing morphology and wolframite content. The available data set includes stope data (vein thickness and wolframite quantity) and borehole data (vein thickness and wolframit...
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doaj-67794759656c45879d9653a7c0689eca2020-11-24T21:48:27ZengMDPI AGMinerals2075-163X2017-11-0171223410.3390/min7120234min7120234A 3D Geological Model of a Vein Deposit Built by Aggregating Morphological and Mineral Grade DataAndré Sanches0José Almeida1Paulo Sá Caetano2Romeu Vieira3Earth Sciences Department, Faculty of Sciences and Technology, NOVA University of Lisbon, GeoBioTec, Quinta da Torre, 2829-516 Caparica, PortugalEarth Sciences Department, Faculty of Sciences and Technology, NOVA University of Lisbon, GeoBioTec, Quinta da Torre, 2829-516 Caparica, PortugalEarth Sciences Department, Faculty of Sciences and Technology, NOVA University of Lisbon, GeoBioTec, Quinta da Torre, 2829-516 Caparica, PortugalInstitute of Earth Sciences, University of Porto, Rua do Campo Alegre 687, 4169-007 Porto, PortugalThe objective of this study was to establish a methodology for building a 3D geological model of a mineral vein deposit, encompassing morphology and wolframite content. The available data set includes stope data (vein thickness and wolframite quantity) and borehole data (vein thickness and wolframite modal classes). The data captured from boreholes and stopes differ in terms of their spatial distribution and clustering as well as the size and shape of each sample. Therefore, a specific methodology was designed to combine these two sources of information. The morphology model mapped vein thickness as a vein proportion variable, by applying a two-phase Direct Sequential Simulation (DSS) locally conditioned to borehole data. Regarding the evaluation of wolframite content, the variables are unable to be related directly to each other and are non-co-located. Therefore, a proximity study was made using DSS to build local conditional cumulative histograms (by borehole class and by mine level). The final model of wolframite quantity was generated using Probability Field Simulation. The proposed approach considers the initially identified problems, allowing the mineral potential of the deposit to be quantified by integrating the results of the two independent methodologies.https://www.mdpi.com/2075-163X/7/12/234morphology modelmineral content modelgeostatistical simulationvein depositscritical raw materials |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
André Sanches José Almeida Paulo Sá Caetano Romeu Vieira |
spellingShingle |
André Sanches José Almeida Paulo Sá Caetano Romeu Vieira A 3D Geological Model of a Vein Deposit Built by Aggregating Morphological and Mineral Grade Data Minerals morphology model mineral content model geostatistical simulation vein deposits critical raw materials |
author_facet |
André Sanches José Almeida Paulo Sá Caetano Romeu Vieira |
author_sort |
André Sanches |
title |
A 3D Geological Model of a Vein Deposit Built by Aggregating Morphological and Mineral Grade Data |
title_short |
A 3D Geological Model of a Vein Deposit Built by Aggregating Morphological and Mineral Grade Data |
title_full |
A 3D Geological Model of a Vein Deposit Built by Aggregating Morphological and Mineral Grade Data |
title_fullStr |
A 3D Geological Model of a Vein Deposit Built by Aggregating Morphological and Mineral Grade Data |
title_full_unstemmed |
A 3D Geological Model of a Vein Deposit Built by Aggregating Morphological and Mineral Grade Data |
title_sort |
3d geological model of a vein deposit built by aggregating morphological and mineral grade data |
publisher |
MDPI AG |
series |
Minerals |
issn |
2075-163X |
publishDate |
2017-11-01 |
description |
The objective of this study was to establish a methodology for building a 3D geological model of a mineral vein deposit, encompassing morphology and wolframite content. The available data set includes stope data (vein thickness and wolframite quantity) and borehole data (vein thickness and wolframite modal classes). The data captured from boreholes and stopes differ in terms of their spatial distribution and clustering as well as the size and shape of each sample. Therefore, a specific methodology was designed to combine these two sources of information. The morphology model mapped vein thickness as a vein proportion variable, by applying a two-phase Direct Sequential Simulation (DSS) locally conditioned to borehole data. Regarding the evaluation of wolframite content, the variables are unable to be related directly to each other and are non-co-located. Therefore, a proximity study was made using DSS to build local conditional cumulative histograms (by borehole class and by mine level). The final model of wolframite quantity was generated using Probability Field Simulation. The proposed approach considers the initially identified problems, allowing the mineral potential of the deposit to be quantified by integrating the results of the two independent methodologies. |
topic |
morphology model mineral content model geostatistical simulation vein deposits critical raw materials |
url |
https://www.mdpi.com/2075-163X/7/12/234 |
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