Results 31 to 40 of about 238 (145)
Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification
Abstract This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data. Using a multi‐scale experimental framework that includes bivariate isotropic clusters, geologically complex Noddy simulations, and real‐world ...
Limin Xu +2 more
wiley +1 more source
Abstract Iron-bearing mineral assemblages and their distribution patterns directly reflect the redox environment in sediments, which plays a decisive role in the migration and precipitation of U. The Dongsheng sandstone-type U deposit hosted in fluvial and/or deltaic sandstones of the lower member of the Middle Jurassic Zhiluo Formation ...
Liang Yue +5 more
openaire +1 more source
Abstract Utilization of the integrated simulation‐optimization models for supporting decisions of the in situ leaching (ISL) design of uranium (U) mining is often hampered by the physicochemical heterogeneity within the sandstone reservoirs. Nevertheless, the conventional way suffers from a high conceptual uncertainty due to almost ubiquitous ...
Wenjie Qiu +8 more
wiley +1 more source
Review and Prospect of Uranium Hydrometallurgy in China
Uranium is an important strategic resource and energy mineral. With the rapid development of nuclear power, the demand for natural uranium has been increasing year by year.
Xue-bin SU +10 more
doaj +1 more source
This study of recent exploration drillcore reveals two sequences separated by a disconformity. Basal alluvial fan to shallow marine lithofacies suggest reactivation of basement faults, and a distinct upwelling signature points to a flooded margin, controlled by differential subsidence of diverse Proterozoic lithosphere.
Ross B. Campbell +9 more
wiley +1 more source
Current machine learning algorithms have achieved remarkable success in quantitatively interpreting spectral gamma‐ray logging for uranium exploration. However, several challenges remain: (1) Existing models typically neglect intervariable dependencies among multiple output variables and (2) they generally lack interpretability. To address these issues,
Chao Xi +4 more
wiley +1 more source
Digital Mapping of Soil Vanadium Across Australia
ABSTRACT Vanadium (V) is increasingly recognised as a critical mineral due to its potential for decarbonisation technologies. Australia holds an estimated quarter of global V resources, yet there is limited knowledge of how these resources are distributed across the country.
Marliana Tri Widyastuti +5 more
wiley +1 more source
ABSTRACT The Athabasca Basin (Saskatchewan, Canada) is a world‐class uranium mining province hosting high‐grade high‐tonnage deposits. Electromagnetic data and direct current resistivity data are essential tools to detect deep geoelectric structures associated with mineralization.
Ali Mohand‐Said +5 more
wiley +1 more source
Geomechanics of Flooding‐Induced Microseismicity—Implications for Post‐Mining Environments
Abstract Seismicity related to mining has gained considerable public attention in the last decades and is one of the reasons for mine closures in Germany. The seismicity in the Ruhr coal mining district of Germany has been monitored by different regional and (temporal) local networks and is classified as purely mining‐induced without evidence for ...
Thomas Niederhuber +7 more
wiley +1 more source
Mineralization at Different Structural Levels in the Crust
Abstract Metallogenic research on structural levels can reveal vertical patterns of mineralization and facilitate the deep exploration of economic minerals. However, research focusing on the correlation between structural levels and mineralization remains limited.
Saisai LI, Hongrui ZHANG, Zengqian HOU
wiley +1 more source

