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 …

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 …

[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 …

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 …

[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 …

Geochemical and hydrothermal alteration patterns of the abrisham-rud porphyry copper district, semnan province, Iran

T Timkin, M Abedini, M Ziaii, MR Ghasemi - Minerals, 2022 - mdpi.com
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 …

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 …

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 …

[PDF][PDF] Geochemical and Hydrothermal Alteration Patterns of the Abrisham-Rud Porphyry Copper District, Semnan Province, Iran. Minerals 2022, 12, 103

T Timkin, M Abedini, M Ziaii, MR Ghasemi - 2022 - academia.edu
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 …

[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 …