This paper is the result of geological survey engineering and mineral exploration engineering.
Objective By integrating the two theoretical frameworks of comprehensive geological information prediction for ore deposits and prospecting prediction of mineralization-related geological bodies, along with modern big data and information technologies, a systematic theoretical and technical framework for mineral prospectivity prediction in mineral concentration areas has been established. This framework supports regional mineral resource assessment at a 1∶50000 scale and large-scale prospecting prediction at 1∶10000. It facilitates the digitalization, integration, high-quality execution, and standardization of mineral exploration activities in key mineralization cluster area, thereby providing robust technical support for China's new round of strategic mineral exploration initiatives.
Methods This paper is guided by the "Theoretical Method for Predicting Mineral Deposit Models Based on Comprehensive Geological Information" and "Theoretical Method for Prospecting Prediction of Metal Mineral Geological Bodies". It conducts in-depth research and systematic summary on the theories, methods and technologies used in prospecting prediction in mineralization cluster area. During the research process, relevant domestic and foreign research results were fully drawn upon, and the framework of the system was optimized and improved in accordance with the degree of geological work in China and actual needs.
Results Based on the "Integrated Geological Information Prediction Theory and Method for Ore Deposit Models" and the "Research on Ore Formation Geology", this paper has constructed a theoretical method technical system for prospecting and prediction in mineralization cluster area, and elaborated on it in detail. This system consists of seven main aspects: (1) Two sets of ore resource prediction theories and methods; (2) Technical requirements for field investigation, measurement analysis, specialized and comprehensive research; (3) Data model norms; (4) Data model support software; (5) Data quality control methods and techniques; (6) Main purposes and service target entities; (7) Types of formed results and their uses.
Conclusions This paper briefly introduces the framework of the system composed of the basic theories, core methods, implementation technologies, achieved results, and quality control aspects used in mineralization cluster area prospecting prediction. This theoretical, methodological and technical system (especially the data model, software suite and quality control system) has been actually applied to the construction of solid mineral resources big data in the new round of mineral prospecting strategy actions in China, achieving remarkable results. In the future, with the continuous development of Deep Earth Science research and information technology, this system will continue to be updated and improved, providing more powerful support for China's Deep mineral exploration work.
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