Big data mining on trace element geochemistry of sphalerite

H Zhao, Y Shao, Y Zhang, G Cao, L Zhao… - Journal of Geochemical …, 2023 - Elsevier
The determination of ore genesis is a main challenge in ore deposit research. Advanced
and rapid analytical techniques have given rise to the accumulation of massive amounts of …

Potential of DESIS and PRISMA hyperspectral remote sensing data in rock classification and mineral identification: a case study for Banswara in Rajasthan, India

P Tripathi, RD Garg - Environmental Monitoring and Assessment, 2023 - Springer
Remote sensing datasets and methods are suitable for mapping and managing the natural
resources like minerals, clean water, and energy and also govern their sustainability …

Evaluation of hydrogeochemical processes in groundwater using geochemical and geostatistical approaches in the Upper Bengal Basin

MS Islam, MG Mostafa - Geofluids, 2022 - Wiley Online Library
Overexploitation of groundwater for irrigation and radical changes of river morphology in the
Bengal basin has posed difficulties to sustainable management of this resource. Forty …

[HTML][HTML] A multi-methodological approach for mineral exploration and predictive metallurgy: the case of the Pilar gold deposit at the Quadrilátero Ferrífero, Brazil

GP Silva-Alves, AVC Neto, MB Soares, R Neumann… - Ore Geology …, 2022 - Elsevier
Gold exploration is generally based on methods such as soil, stream and drill core
geochemistry and geophysical techniques, but X-ray diffraction (XRD) and the Rietveld …

Functional renormalization group approach for signal detection

V Lahoche, D Ousmane Samary, M Tamaazousti - SciPost Physics Core, 2024 - scipost.org
This review paper utilizes renormalization group techniques for signal detection in nearly
continuous positive spectra. We emphasize the universal aspects of the analogue field …

Evaluation of the modified AHP-VIKOR for mapping and ranking copper mineralized areas, a case study from the Kerman metallogenic belt, SE Iran

F Maghsoudi Moud, A Abbaszadeh Shahri… - Arabian Journal of …, 2022 - Springer
Exploration and prioritization of potentially mineralized areas by integrating different
geoscientific datasets help to manage the time and costs of an exploration project. In this …

Metallurgical evaluation of the leaching behavior of copper–cobalt-bearing ores by the principal component analysis approach: case study of the DRC copperbelt ore …

B Mbuya, P Ntakamusthi, MB Kime, L Zeka… - Journal of Sustainable …, 2021 - Springer
Cobalt (III) is present in most of the minerals in the Congolese Copperbelt deposits. Its
hydrometallurgical treatment requires to be reduced to Co2+, using a reducing agent. Using …

Linking protolith rocks to altered equivalents by combining unsupervised and supervised machine learning

SB Hood, MJ Cracknell, MF Gazley - Journal of Geochemical Exploration, 2018 - Elsevier
Metasomatism occurs when fluid interacts with rock to add, or remove, its chemical
constituents; these processes form mineral deposits where economic element (s) are …

[HTML][HTML] Element mobility and spatial zonation associated with the Archean Hamlet orogenic Au deposit, Western Australia: Implications for fluid pathways in shear …

SB Hood, MJ Cracknell, MF Gazley, AM Reading - Chemical Geology, 2019 - Elsevier
Mass balance equations can be used to understand metasomatism. Here we use 2726 multi-
element chemical analyses to quantify the effect of metasomatism associated with Au …

[PDF][PDF] Machine learning methods in geoscience

G Schuster - 2024 - library.seg.org
This book presents the theory of machine learning (ML) algorithms and their applications to
geoscience problems. Geoscience problems include traveltime picking of seismograms by a …