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3D/4D Geological Modeling for Mineral Exploration

Edited by
May 2023
242 pages
  • ISBN978-3-0365-7436-3 (Hardback)
  • ISBN978-3-0365-7437-0 (PDF)
https://doi.org/10.3390/books978-3-0365-7437-0
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This book is a reprint of the Special Issue 3D/4D Geological Modeling for Mineral Exploration that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

With the development of high-precision geological observation technology, in situ mineral microanalysis technology, isotope geochemical analysis technology, deep geophysical exploration technology, deep drilling, real-time mining, remote sensing highresolution hyperspectral image technology, and supercomputer and industrial intelligence, geoscience has entered an era of big data and artificial intelligence in the 21st century. Three-dimensional/four-dimensional (3D/4D) geoscience modeling with the multi-disciplinary intersection of geosciences has been used as the basis for mineral exploration and the extraction of geosciences information for mineral resource assessment.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
GIS; multivariate geoscience datasets; RBFLN; metallogenic prospective area; 3D structural modeling (3D SM); 3D fault system models (FSMs); seismic attribute models; reservoir properties; facies; hydrocarbon-bearing zones; oxidation of molybdenite; ore-forming process; 3D multi-parameter geological modeling; microanalysis; Shangfanggou; continental red beds; hematite; secondary reduction zone; Danxia landform; deep prospecting; 3D metallogenic prediction; characteristic variables; stepped metallogenic model; resource potential; Jiaodong Peninsula; geological modeling; orebody modeling; coons surface interpolation; contour interpolation; polygon triangulation; 3D mineral prospectivity modeling; random forest; logistic regression; Xuancheng–Magushan area; 3D geological modeling; 3D ore-body modeling; spectral interpretation and 3D modeling; mineral exploration and deep targeting; Zhaoxian gold deposit; independent component analysis; 3D modeling; spectral feature subset selection; 3D mineral prospectivity mapping; quantitative mineral resources prediction model; maximum entropy model; Gaussian mixture model; Zaozigou gold deposit; 3D mineral prospectivity mapping; geological and geochemical quantitative prediction model at depth; Deep auto-encoder network; Student Teacher Ore-induced Anomaly Detection; Zaozigou gold deposit; n/a