Over the past several decades, a wide range of complex structures or phenomena of interest
to geologists and geochemists has been quantitatively characterized using …

The present work aims to identify the geochemical signatures of copper deposits in the
Igherm area (Anti-Atlas, Morocco) using stream sediment data. We applied factor analysis …

Abstract The Wenchuan earthquake Fault Scientific Drilling venture (WFSD) offers an
interesting possibility for examining the faulting and thermal system of the Yingxiu-Beichuan …

Geochemical anomaly separation using the concentration–number (C–N) method at the
Haftcheshmeh porphyry system in NW Iran is the aim of this study. We used …

The aim of this study was to identify various mineralization zones especially supergene
enrichment and hypogene zones in Kahang Cu porphyry deposit by higher than …

Recognition of different mineralized zones in an ore deposit is important for mine planning.
This study aims to separate the different mineralized zones and the wall rock in the Zaghia …

The spectrum–area (S–A) fractal model is a powerful tool for decomposition of complex
anomaly patterns of gridded geochemical data. Ordinary moving average interpolation …

Prediction of elemental concentrations is essential in mineral exploration as it plays a vital
role in detailed exploration. New machine learning (ML) methods such as hybrid models are …

Recognition of mineralization-related geochemical footprints and modeling their multi-
element dispersion patterns are important aspects to consider when “vectoring” toward …

The separation, identification and assessment of high-grade ore zones from low-grade ones
are extremely important in mining of metalliferous deposits. A technique that provides …