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Innovative methods applied to processing and interpreting geochemical data
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AI
DOI：10.1016/j.gexplo.2022.106983.png)
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Abstract
En 中文
The Editorial of this special issue focuses on Innovative methods applied to processing and interpreting geochemical data, summarizing the papers published therein, reviewing the advances made in analyzing and interpreting geochemical datasets, and highlighting some challenges facing present-day geochemical data analysis. Decades of research on mineral exploration and environmental pollution have led to three significant breakthroughs in analyzing geochemical datasets, namely the compositional nature of geochemical data, fractal/multifractal-based decomposition of anomalous patterns, and artificial intelligence (AI)-based geochemical pattern recognition. Some challenges still face the use of AI-based methods for the recognition of geochemical anomalies linked to ore-forming processes. The papers published in this issue employ state-of-the-art techniques to fully exploit the potential of geochemical datasets for exploration and environmental geochemistry. A total of 25 papers were submitted to this special issue of which 15 papers were published. The published papers can be categorized in three broad groups, namely (i) delineation of anomalous geochemical patterns, (ii) integrating geochemical datasets to other geospatial tools for mineral exploration, and (iii) geochemistry for hydrocarbon exploration.
Keywords:
Geochemical data
Analysis
Environment
Exploration
Artificial intelligence
Journal
IF:
3.3
Papers:
3.8K
Citations:
9.5K