Geological prediction-oriented geophysical and geophysical data fusion processing and interpretation method and device

Abstract

This application discloses a method and apparatus for the fusion processing and interpretation of geophysical and geochemical data for geological prediction, belonging to the field of earth science data processing technology. The main technical solution of this application is as follows: Continuous geophysical data and discrete geochemical data adapted to their original characteristics are acquired, and then purified and standardized through noise removal, outlier processing, and spatiotemporal alignment to obtain a standardized dataset with unified dimensions. Next, physical feature sets reflecting the structure of the subsurface medium and chemical feature sets reflecting mineralization / hazard patterns are extracted separately. After dimensionality reduction, these are input into a pre-trained Bayesian data fusion model to obtain the posterior probabilities of each dimension to be inferred. Finally, based on the posterior probabilities, the fusion processing and interpretation are completed, transforming the data into visually interpretable results that can be directly used for geological exploration and hazard assessment, achieving collaborative reasoning based on "structure + composition". This application provides a solution for more accurate and reliable geological prediction by fusing multi-source heterogeneous data.

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