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.

Autorentext

Jianping Chen is Full Professor at the Earth Science and Resources Department, China University of Geoscience, Beijing, since 1997, graduated from Chengdu University of Technology with a doctoral degree. Prof. Chen is Academician of the Russian Academy of Natural Sciences, Director of the Professional Committee of Mathematical Geology and Geoscience Information of the Chinese Geological Society, Director of the Beijing Key Laboratory of Land and Resources Information Research and Development. He has been engaged in mineral exploration, remote sensing and GIS technology application for a long time, presided over the completion of more than 100 various scientific research projects, and won the International Association for Mathematical Geoscience Scientist Award for Excellence in 2009. He has 3 national invention patents and 5 software copyrights, published more than 200 academic papers and more than 10 academic monographs such as Ten Cases of Three-dimensional Quantitative Prediction of Concealed Mines (in Chinese).