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<p>To comprehensively utilize the valuable geological map, exploration profile, borehole, and geochemical logging data and the knowledge on the formation of the Jinshan Ag-Au deposit for forecasting the exploration targets of concealed ore bodies, three-dimensional Mineral Prospectivity Modeling (MPM) of the deposit has been conducted using the weights-of-evidence (WofE) method. Conditional independence between evidence layers was tested, and the outline results using the prediction-volume (<i>P-V</i>) and Student’s <i>t</i>-statistic methods for delineating favorable mineralization areas from continuous posterior probability map were critically compared. Four exploration targets delineated ultimately by the Student’s <i>t</i>-statistic method for the discovery of minable ore bodies in each of the target areas were discussed in detail. The main conclusions include: (1) three-dimensional modeling of a deposit using multi-source reconnaissance data is useful for MPM in interpreting their relationships with known ore bodies; (2) WofE modeling can be used as a straightforward tool for integrating deposit model and reconnaissance data in MPM; (3) the Student’s <i>t</i>-statistic method is more applicable in binarizing the continuous prospectivity map for exploration targeting than the <i>P-V</i> approach; and (4) two target areas within high potential to find undiscovered ore bodies were diagnosed to guide future near-mine exploration activities of the Jinshan deposit.</p>

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Three-Dimensional Prospectivity Modeling of Jinshan Ag-Au Deposit, Southern China by Weights-of-Evidence

  • 期刊论文

  • 发表日期：

    2025年10月13日

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  • Fan Xiao,
  • Qiuming Cheng,
  • Weisheng Hou,
  • Frederik P. Agterberg

摘要

To comprehensively utilize the valuable geological map, exploration profile, borehole, and geochemical logging data and the knowledge on the formation of the Jinshan Ag-Au deposit for forecasting the exploration targets of concealed ore bodies, three-dimensional Mineral Prospectivity Modeling (MPM) of the deposit has been conducted using the weights-of-evidence (WofE) method. Conditional independence between evidence layers was tested, and the outline results using the prediction-volume (P-V) and Student’s t-statistic methods for delineating favorable mineralization areas from continuous posterior probability map were critically compared. Four exploration targets delineated ultimately by the Student’s t-statistic method for the discovery of minable ore bodies in each of the target areas were discussed in detail. The main conclusions include: (1) three-dimensional modeling of a deposit using multi-source reconnaissance data is useful for MPM in interpreting their relationships with known ore bodies; (2) WofE modeling can be used as a straightforward tool for integrating deposit model and reconnaissance data in MPM; (3) the Student’s t-statistic method is more applicable in binarizing the continuous prospectivity map for exploration targeting than the P-V approach; and (4) two target areas within high potential to find undiscovered ore bodies were diagnosed to guide future near-mine exploration activities of the Jinshan deposit.