Research on Deep Mineral Prediction Based on Data and Metallo-genic Mechanisms
Predicting the results of deep mineral resources is a hot and difficult topic in current mineral exploration work.A computer simulation mineral result prediction technology driven by both data and mineralization mechanism is proposed.After obtaining geological structure information,rock and ore physical properties parameters,and fluid parameters of the proposed exploration deposit,the optimal force heat flow multi field coupled numerical simulation calculation model is first used for multi physical field numerical simulation calculation.Multiple mineralization condition parameters that cannot be directly mea-sured under the best mineralization mechanism are obtained through training.Then,the accuracy of mineral prediction results of the proposed exploration deposit is determined by using the optimal mineralization condition parameters and the trained opti-mal mineral result prediction model,thereby effectively improving the accuracy of mineral prediction results.
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