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Quantitative Prediction of Blind Ore Deposits : Theory and Practice / by Jianping Chen.

Springer eBooks EBA - Earth & Environmental Science Collection 2025 Available online

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Format:
Book
Author/Creator:
Chen, Jianping.
Series:
Earth and Environmental Science Series
Language:
English
Subjects (All):
Geology.
Mineralogy.
Geography--Mathematics.
Geography.
Mathematics of Planet Earth.
Local Subjects:
Geology.
Mineralogy.
Mathematics of Planet Earth.
Physical Description:
1 online resource (507 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book systematically summarizes the theory and technical methods of two-dimensional and three-dimensional quantitative prediction and evaluation of deep mineral resources, and introduces case studies from different scales such as metallogenic regions, metallogenic belts and deposits. It is the accumulation of long-term experience in the combination of quantitative analysis, technology research and prospecting practice in metallogenic prediction. It combines scientific theories, software operations and case studies in its content arrangement to make the theory and technical methods more practical in directing practitioners. This book introduces a series of core technologies with independent intellectual property rights. The self-developed and integrated prediction and evaluation system introduced in this book shows a wide range of application prospects in practice. It has important theoretical significance and practical promotion value for cultivating interdisciplinary talents who are proficient in geology, mathematics and information technology.
Contents:
Introduction.-Fundamentals of 2D Quantitative Forecasting in Mineral Resource Assessment
2D Quantitative Prediction Method of Mineral Resources
Application Case 1: Quantitative Prediction of Copper Resources in the Southern Margin of the North China Craton
Principles of 3D Quantitative Prediction of Mineral Resources
3D Quantitative Prediction Method of Mineral Resources
Application Case 2: Predicting Metallogenic Potential in Shandong Province's Jiaojia Gold Belt Through 3D Modeling
Application case 3: Geospatial Modeling, Predictive Analysis, and Assessment of the Laochang Ore Field in Gejiu, Yunnan: A 3D Approach to Metallogenic Features.
ISBN:
981-9517-70-2
9789819517701
OCLC:
1555343219

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