Exploration implications of multiple formation environments of advanced argillic minerals
JW Hedenquist, A Arribas - Economic Geology, 2022 - pubs.geoscienceworld.org
Advanced argillic minerals, as defined, include alunite and anhydrite, aluminosilicates
(kaolinite, halloysite, dickite, pyrophyllite, andalusite, zunyite, and topaz), and diaspore. One …
(kaolinite, halloysite, dickite, pyrophyllite, andalusite, zunyite, and topaz), and diaspore. One …
Research on remote sensing prospecting technology based on multi-source data fusion in deep-cutting areas
P Lyu, L He, Z He, Y Liu, H Deng, R Qu, J Wang… - Ore Geology …, 2021 - Elsevier
Tectonically deep-cut areas are difficult to access due to the treacherous terrain, making it
difficult to carry out fieldwork in these areas for geological prospecting. Liwu Copper-Zinc …
difficult to carry out fieldwork in these areas for geological prospecting. Liwu Copper-Zinc …
[HTML][HTML] Hyperspectral (VNIR-SWIR) analysis of roll front uranium host rocks and industrial minerals from Karnes and Live Oak Counties, Texas Coastal Plain
BE Hubbard, TJ Gallegos, V Stengel, TM Hoefen… - Journal of Geochemical …, 2024 - Elsevier
Abstract VNIR-SWIR (400–2500 nm) reflectance measurements were made on the surfaces
of various cores, cuttings and sample splits of sedimentary rocks from the Tertiary Jackson …
of various cores, cuttings and sample splits of sedimentary rocks from the Tertiary Jackson …
Deep forest modeling: an interpretable deep learning method for mineral prospectivity map**
YL Dong, ZJ Zhang - Journal of Geophysical Research …, 2024 - Wiley Online Library
Accurate mineral prediction is crucial for reducing costs and uncertainties in mineral
discovery and extraction. The use of artificial intelligence and big data has advanced …
discovery and extraction. The use of artificial intelligence and big data has advanced …
[PDF][PDF] USGS critical minerals review
SM Fortier, JH Hammarstrom, SJ Ryker… - Mining …, 2019 - researchgate.net
Annual Review 2020: Critical Minerals in material science have made nearly all the naturally
occurring elements in the periodic table increasingly important for a broad portfolio of …
occurring elements in the periodic table increasingly important for a broad portfolio of …
Geochemical and hydrothermal alteration patterns of the abrisham-rud porphyry copper district, semnan province, Iran
In this study, the zonality method has been used to separate geochemical anomalies and to
calculate erosional levels in the regional scale for porphyry-Cu deposit, Abrisham-Rud …
calculate erosional levels in the regional scale for porphyry-Cu deposit, Abrisham-Rud …
Automated Population and Validation of Geologic Logging Fields: An Approach to Autopopulate Select Logging Parameters and Rapidly Identify Mis-Logged Interval …
LL Hutson, I Barton, L Hill, W Stavast… - Mining, Metallurgy & …, 2024 - Springer
Geological characterization of drillholes is a crucial source of exploration data, but is a time-
consuming, laborious, and manual process. This paper tests two ways that automation can …
consuming, laborious, and manual process. This paper tests two ways that automation can …
Porphyry and skarn Cu prospectivity of Sumatra with GIS spatial modelling techniques
T Mulja, MN Heriawan… - Applied Earth …, 2024 - journals.sagepub.com
Although Sumatra Island hosts only one mid-sized, economically viable porphyry Cu deposit
and a few exploited Cu-rich polymetallic skarns, studies indicate that more Cu resources …
and a few exploited Cu-rich polymetallic skarns, studies indicate that more Cu resources …
[PDF][PDF] Geochemical and Hydrothermal Alteration Patterns of the Abrisham-Rud Porphyry Copper District, Semnan Province, Iran. Minerals 2022, 12, 103
In this study, the zonality method has been used to separate geochemical anomalies and to
calculate erosional levels in the regional scale for porphyry-Cu deposit, Abrisham-Rud …
calculate erosional levels in the regional scale for porphyry-Cu deposit, Abrisham-Rud …
[PDF][PDF] Map** multivariate ore occurrence data with correspondence analysis
JM Rosera - … and Exploration Targeting–MinProXT 2021 Webinar, 2021 - researchgate.net
Correspondence analysis is a multivariate method that can be applied to mineral
abundance data. Ore mineral assemblages from broadly underutilized prospect and …
abundance data. Ore mineral assemblages from broadly underutilized prospect and …