Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Xavier Emery"'
Autor:
Parag Jyoti Dutta, Xavier Emery
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025013 (2024)
Rock type classification is crucial for evaluating mineral resources in ore deposits and for rock mechanics. Mineral deposits are formed in a variety of rock bodies and rock types. However, the rock type identification in drill core samples is often
Externí odkaz:
https://doaj.org/article/28a1202dde3746ab8011229c704cb60f
Publikováno v:
Minerals, Vol 13, Iss 10, p 1252 (2023)
Accurate subsurface exploration requires an optimal network of boreholes. This paper proposes a multi-objective approach to optimize the layout of additional exploratory boreholes. In order to illustrate this approach, geochemical analyses of core sa
Externí odkaz:
https://doaj.org/article/37c75c2d790d4c63aa697757274f91a2
Publikováno v:
Minerals, Vol 12, Iss 12, p 1599 (2022)
Modeling the spatial dependence structure of metal grades in the presence of soft boundaries between geological domains is challenging in any mineral resource estimation strategy. The aim of this work was to propose a structural model adapted to this
Externí odkaz:
https://doaj.org/article/3508878c27a44c5cacea3b95376eafa7
Publikováno v:
Minerals, Vol 10, Iss 7, p 585 (2020)
Production planning decisions in the mining industry are affected by geological, geometallurgical, economic and operational information. However, the traditional approach to address this problem often relies on simplified models that ignore the varia
Externí odkaz:
https://doaj.org/article/69f16509249b4f18886c614b3c37b945
Publikováno v:
Minerals, Vol 10, Iss 4, p 336 (2020)
Since the Gol-Gohar iron ore mine (GGIOM), which is located in southeastern Iran, is currently one of the biggest iron mines in this region, increasing the accuracy of its mineral resources model has become a challenge for geologists, metallurgists a
Externí odkaz:
https://doaj.org/article/52373ae4f1fa406ca3f39c254059f36e
Publikováno v:
Minerals, Vol 8, Iss 2, p 52 (2018)
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty associated with its characterisation and reproduce the intrinsic spatial variability and heterogeneities present in the rock mass. However, there is o
Externí odkaz:
https://doaj.org/article/b7035715bf9b4d0ea93b7ae75996c98d
Publikováno v:
Minerals, Vol 7, Iss 12, p 241 (2017)
Geostatistics offers a set of methods for modeling, predicting, or simulating geological domains in space. In addition of being an input of some of these methods, indicator direct and cross-variograms convey valuable information on the geometry of th
Externí odkaz:
https://doaj.org/article/61485566889f432d8a8751d8a5fb022a
Publikováno v:
Minerals, Vol 8, Iss 1, p 7 (2017)
This paper proposes a geostatistical approach for geological modelling and for validating an interpreted geological model, by identifying the areas of an ore deposit with a high probability of being misinterpreted, based on quantitative coregionalise
Externí odkaz:
https://doaj.org/article/4619441626bf42a0921af416b27acdfe
Publikováno v:
Natural Resources Research. 32:1147-1175
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882b06b15310927a011b8416a239e52f
https://doi.org/10.1007/s11053-023-10198-0
https://doi.org/10.1007/s11053-023-10198-0
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0b002e877155dda937e18e879343dbd
https://doi.org/10.1007/s00477-022-02347-3
https://doi.org/10.1007/s00477-022-02347-3