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Quantitative prediction of blind ore deposits = theory and practice /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantitative prediction of blind ore deposits/ by Jianping Chen.
其他題名:	theory and practice /
作者:	Chen, Jianping.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xiii, 339 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Metallogenic provinces - Data processing. -
電子資源:	https://doi.org/10.1007/978-981-95-1770-1
ISBN:	9789819517701

Quantitative prediction of blind ore deposits = theory and practice /
Chen, Jianping.

Quantitative prediction of blind ore depositstheory and practice /[electronic resource] :by Jianping Chen. - Singapore :Springer Nature Singapore :2025. - xiii, 339 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789819517701

Standard No.: 10.1007/978-981-95-1770-1doiSubjects--Topical Terms:

3803786
Metallogenic provinces
--Data processing.

LC Class. No.: TN263 / .C44 2025

Dewey Class. No.: 553.4

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520 $a 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.
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