Zuoliyan . 2025: Development Context of Fluid Inclusion Technology and Its Applications in Ore Deposit Exploration. Geological Bulletin of China. DOI: 10.12097/gbc.2025.03.020
    Citation: Zuoliyan . 2025: Development Context of Fluid Inclusion Technology and Its Applications in Ore Deposit Exploration. Geological Bulletin of China. DOI: 10.12097/gbc.2025.03.020

    Development Context of Fluid Inclusion Technology and Its Applications in Ore Deposit Exploration

    •  ObjectiveIn the ore-forming system of mineral deposits, the fluid inclusion technique is a core means for analyzing ore - forming fluids. This study aims to systematically review its development trajectory, analyze its roles in key aspects such as ore-deposit genesis, mineralization zoning, etc., explore its potential in deep ore-prospecting prediction, and provide support for the innovation of ore-deposit exploration theories and practices. MethodsBased on the technological evolution path of "observation-testing-modeling", this study systematically reviews the development trajectory of the fluid inclusion technique from the dual perspectives of academic theoretical breakthroughs and instrumental equipment innovations. Through the analysis of typical domestic and foreign mineral deposit cases, the specific applications of this technique in ore-deposit exploration are examined. ResultsThrough in-depth research on numerous typical mineral deposits and the accumulation of multi-dimensional data, the study reveals that the fluid inclusion technique can effectively determine the genesis of mineral deposits, analyze the characteristics of mineralization zoning, constrain the ore-forming age, and invert the physical and chemical conditions of ore - formation. It demonstrates significant advantages in determining ore-deposit types, reconstructing ore - forming processes, revealing halos' patterns, and accurately locating deep ore bodies. Conclusions The fluid inclusion analysis technique has achieved remarkable results in ore-deposit exploration. With its integration with cutting-edge technologies such as artificial intelligence and big data, it shows great potential in deep ore-prospecting prediction, resource potential evaluation, and other fields.
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