Machine learning of mineralization-related geochemical anomalies: A review of potential methods
R Zuo - Natural Resources Research, 2017 - Springer
Research on processing geochemical data and identifying geochemical anomalies has
made important progress in recent decades. Fractal/multi-fractal models, compositional data …
made important progress in recent decades. Fractal/multi-fractal models, compositional data …
The processing methods of geochemical exploration data: past, present, and future
Geochemical exploration data is popular in mineral exploration in that it plays a notable role
in discovering unknown mineral deposits. In this study, we review the state-of-the-art popular …
in discovering unknown mineral deposits. In this study, we review the state-of-the-art popular …
Visualization and interpretation of geochemical exploration data using GIS and machine learning methods
Geochemical exploration has provided significant clues for mineral exploration and has
helped discover many mineral deposits. Although various methods, including classic …
helped discover many mineral deposits. Although various methods, including classic …
Fractal/multifractal modelling of geochemical exploration data
Geochemical data analysis plays an important role in mineral exploration and environmental
studies. For these purposes, one or all of the following aspects of geochemical data (mainly …
studies. For these purposes, one or all of the following aspects of geochemical data (mainly …
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 …
A comparison study of the C–A and S–A models with singularity analysis to identify geochemical anomalies in covered areas
Fractal/multifractal modeling of geochemical data is an interesting topic in the field of applied
geochemistry. Identification of weak anomalies for mineral exploration in covered areas is …
geochemistry. Identification of weak anomalies for mineral exploration in covered areas is …
Supervised geochemical anomaly detection by pattern recognition
AM Gonbadi, SH Tabatabaei, EJM Carranza - Journal of Geochemical …, 2015 - Elsevier
Geochemical anomaly detection is an important issue in mineral exploration. The availability
of a training dataset consisting of labeled geochemical samples of background and anomaly …
of a training dataset consisting of labeled geochemical samples of background and anomaly …
Combination of machine learning algorithms with concentration-area fractal method for soil geochemical anomaly detection in sediment-hosted Irankuh Pb-Zn deposit …
Prediction of geochemical concentration values is essential in mineral exploration as it plays
a principal role in the economic section. In this paper, four regression machine learning (ML) …
a principal role in the economic section. In this paper, four regression machine learning (ML) …
Big data analytics of identifying geochemical anomalies supported by machine learning methods
Big data analytics brings a novel way for identifying geochemical anomalies in mineral
exploration because it involves processing of the whole geochemical dataset to reveal …
exploration because it involves processing of the whole geochemical dataset to reveal …
Selection of an elemental association related to mineralization using spatial analysis
R Zuo - Journal of Geochemical Exploration, 2018 - Elsevier
Geochemical exploration plays a significant role in mineral exploration because it can help
lead to the discovery of various types of mineral deposits. For a given geochemical …
lead to the discovery of various types of mineral deposits. For a given geochemical …