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Fractal/multifractal modeling of geochemical data: A review
Over the past several decades, a wide range of complex structures or phenomena of interest
to geologists and geochemists has been quantitatively characterized using …
to geologists and geochemists has been quantitatively characterized using …
Stream sediment geochemical data analysis for district-scale mineral exploration targeting: Measuring the performance of the spatial U-statistic and CA fractal …
Recognition of mineralization-related geochemical footprints and modeling their multi-
element dispersion patterns are important aspects to consider when “vectoring” toward …
element dispersion patterns are important aspects to consider when “vectoring” toward …
Application of concentration–number (C–N) multifractal modeling for geochemical anomaly separation in Haftcheshmeh porphyry system, NW Iran
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 …
Haftcheshmeh porphyry system in NW Iran is the aim of this study. We used …
Geochemical anomaly detection in the Irankuh District using Hybrid Machine learning technique and fractal modeling
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 …
role in detailed exploration. New machine learning (ML) methods such as hybrid models are …
Evaluation of the geothermal parameters to decipher the thermal structure of the upper crust of the Longmenshan fault zone derived from borehole data
Abstract The Wenchuan earthquake Fault Scientific Drilling venture (WFSD) offers an
interesting possibility for examining the faulting and thermal system of the Yingxiu-Beichuan …
interesting possibility for examining the faulting and thermal system of the Yingxiu-Beichuan …
Application of power-spectrum–volume fractal method for detecting hypogene, supergene enrichment, leached and barren zones in Kahang Cu porphyry deposit …
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 …
enrichment and hypogene zones in Kahang Cu porphyry deposit by higher than …
Application of fractal models to outline mineralized zones in the Zaghia iron ore deposit, Central Iran
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 …
This study aims to separate the different mineralized zones and the wall rock in the Zaghia …
Multifractal interpolation and spectrum–area fractal modeling of stream sediment geochemical data: Implications for map** exploration targets
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 …
anomaly patterns of gridded geochemical data. Ordinary moving average interpolation …
M Ali, M Ehsan… - Geoenergy Science and …, 2023 - Elsevier
The present study aims to better understand the mineralogy and thermal structure of the
Yingxiu-Beichuan fault zone (YBFZ), Sichuan basin, China, which was lacking previously …
Yingxiu-Beichuan fault zone (YBFZ), Sichuan basin, China, which was lacking previously …
Performance evaluation of RBF-and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of SA multifractal model and …
Definition of the efficient ore-forming processes, which are considered as mineralization
controls is a fundamental stage in mineral prospectivity modeling. In this contribution, four …
controls is a fundamental stage in mineral prospectivity modeling. In this contribution, four …