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8. Application Case 3: Geospatial Modeling, Predictive Analysis, and Assessment of the Laochang Ore Field in Gejiu, Yunnan: A 3D Approach to Metallogenic Features

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Author
Jianping Chen
Published in
Quantitative Prediction of Blind Ore Deposits
Publisher
Springer Nature Singapore

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Abstract

This study focuses on the Laochang ore field in Gejiu, Yunnan, China, utilizing a 3D approach to examine metallogenic features. The research integrates geological data, remote sensing, and geophysical datasets to construct a comprehensive digital model of the ore field. Key topics include the geological backdrop, the application of 3S technologies, and the use of Surpac software for 3D visualization. The study also employs the Cubic Prediction model and geostatistical techniques for predictive analysis and prospecting. The conclusion highlights the refinement of the prospecting model, enhancing its efficacy in identifying potential ore deposits. This detailed approach provides valuable insights into the spatial configuration and mineralization patterns of the Laochang ore field, making it a significant contribution to the field of geospatial modeling and metallogenic assessment.
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previous chapter Application Case 2: Predicting Metallogenic Potential in Shandong Province’s Jiaojia Gold Belt Through 3D Modeling
Title
Application Case 3: Geospatial Modeling, Predictive Analysis, and Assessment of the Laochang Ore Field in Gejiu, Yunnan: A 3D Approach to Metallogenic Features
Author
Jianping Chen
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Quantitative Prediction of Blind Ore Deposits

Print ISBN: 978-981-9517-69-5

Electronic ISBN: 978-981-9517-70-1

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-95-1770-1_8
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