Mathematical Geosciences in Exploration Geochemistry
A special issue of Mining (ISSN 2673-6489).
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 3856
Special Issue Editor
Interests: mathematical geosciences (fractal modeling); geostatistics (simulation and uncertainty quantification); GIS and mineral prospectivity mapping; remote sensing; applied geochemistry and renewable and sustainable energies (geothermal in particular)
Special Issue Information
Dear Colleagues,
Mathematical geosciences include geostatistics, simulation, uncertainty quantification, classification, numerical and statistical analysis, data/big data analysis, machine learning, and deep learning. All these methods in 2D (on the ground) to even 5D (underground/subsurface) have been developing and being applied to geological data in different fields such as exploration geochemistry, exploration geophysics, remote sensing, petroleum engineering, mining engineering, hydrology, GIS and mineral prospectivity mapping, etc. In exploration geochemistry, such methods have been taken into consideration to recognize geochemical anomalies vectoring into mineral deposits with less uncertainty. This helps decision-makers to focus follow-up exploration projects on the anomalies defined as significant using robust models. Considering these points, all papers related to advanced methods and developments in applied geochemistry using various anomaly classification methods such as fractal/multifractals and geostatistical modeling (e.g., uni/multivariate analysis and simulation methods), error propagation and uncertainty quantification, GIS and mineral prospectivity mapping, and numerical/data analysis are welcome.
Dr. Behnam Sadeghi
Guest Editor
Manuscript Submission Information
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Keywords
- mathematical geosciences
- exploration geochemistry
- fractal modeling
- geostatistics
- classification
- GIS
- simulation
- uncertainty quantification
- error propagation
- geochemical data
- geomodeling
- data analysis
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