Chen Quantitative Prediction of Blind Ore Deposits
Erscheinungsjahr 2025
ISBN: 978-981-951770-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Theory and Practice
E-Book, Englisch, 339 Seiten
Reihe: Earth and Environmental Science
ISBN: 978-981-951770-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.




