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 …
[HTML][HTML] Detection of mineralization stages using zonality and multifractal modeling based on geological and geochemical data in the Au-(Cu) intrusion-related Gouzal …
The objective of this paper is to detect various gold and copper mineralization stages
according to surface lithogeochemical data utilizing zonality index and spectrum-area (SA) …
according to surface lithogeochemical data utilizing zonality index and spectrum-area (SA) …
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 …
Geochemical exploration for lithium in NE Iran using the geochemical mapping prospectivity index, staged factor analysis, and a fractal model
Geochemical exploration for rare metals, specifically lithium, is essential on a regional scale
based on their demand and consumption in recent years. The main objective of this study …
based on their demand and consumption in recent years. The main objective of this study …
A hybrid framework for detection of multivariate porphyry Cu signatures and anomaly enhancement: Incorporation of SFA, GMPI, and Grey Wolf Optimization
Geochemical data from stream sediment are commonly employed for regional scale mineral
exploration, as they can be utilized to detect geochemical anomalies associated with …
exploration, as they can be utilized to detect geochemical anomalies associated with …
Prospectivity modeling of porphyry-Cu deposits by identification and integration of efficient mono-elemental geochemical signatures
M Parsa, A Maghsoudi, M Yousefi… - Journal of African Earth …, 2016 - Elsevier
Dispersion pattern of geochemical elements in stream sediment data of a study area is
affected by several factors, eg, geological and geomorphological characteristics of the area …
affected by several factors, eg, geological and geomorphological characteristics of the area …
Fractal modeling and fry analysis of the relationship between structures and Cu mineralization in Saveh region, Central Iran
The Saveh region in the middle part of the Urumieh-Dokhtar Magmatic Belt (UDMB), Central
Iran, contains several Cu mineralization and deposits that may have been localized by …
Iran, contains several Cu mineralization and deposits that may have been localized by …
Delineation of geochemical haloes using the developed zonality index model by multivariate and fractal analysis in the Cu–Mo porphyry deposits
Main aim of this study is to propose a developed zonality index for Cu–Mo porphyry deposits
based on staged factor analysis with Number-Size (N–S) fractal model. This method was …
based on staged factor analysis with Number-Size (N–S) fractal model. This method was …
Application of anomaly components of multi-element combination extracted from stream sediments data by BEMD in mapping ore prospectivity within the JGCR …
A Zheng, C Chen, Y Chen, B Zhao, P Zhao - Applied Geochemistry, 2024 - Elsevier
The significant decline in the number of newly discovered mineral deposits and the
dramatical increase for the global demand for mineral resources in recent years have led …
dramatical increase for the global demand for mineral resources in recent years have led …
[HTML][HTML] Geochemical anomaly definition using stream sediments landscape modeling
Geochemical anomaly mapping is a crucial part of environmental and mineral exploration
projects. Stream sediments are the most frequently sampling medium for geochemical …
projects. Stream sediments are the most frequently sampling medium for geochemical …