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    危机矿山深边部隐伏矿体立体定量预测研究——以广西大厂锡多金属矿床为例

    The stereoscopic quantitative prediction of concealed ore bodies in the deep and marginal parts of crisis mines: a case study of the Dachang tin polymetallic ore deposit in Guangxi

    • 摘要: 提要:危机矿山及老矿山深边部具有巨大的资源潜力,但深部潜在资源的寻找面临着巨大的困难和风险,这是由老矿山具有勘探开发程度高、预测评价及找矿向深部三维空间发展、矿山生产对物化探异常信息产生干扰等固有特点所决定的,因此,采用适合危机矿山找矿特点的预测评价新方法,是老矿山深边部资源评价找矿取得突破的重要因素之一。本文针对危机矿山可接替资源的评价和找矿问题,采用数据驱动和知识驱动相结合的方法,确立了隐伏矿体立体定量预测工作的核心流程即“地质数据集成-成矿信息定量提取-立体定量预测”。论文从场分析的观点出发,提出和建立了岩浆岩、地层岩性、断层和褶皱控矿作用的场模型以及矿化分布场模型,并通过连续模型的离散化实现了对地质控矿作用场模型的求解。采用统计分析和非线性规划方法,分析了地质控矿作用场与矿化指标之间的关联关系,提取出了地质因素控制矿化富集的定位定量参数,并根据这些参数得到了控矿地质因素定量指标集。基于矿化指标与控矿地质因素指标之间的关系,建立了立体定量预测模型,包括矿化数学模型和含矿性估计模型,对大厂矿区深边部区域进行了隐伏矿体的三维定位定量预测,建立了预测结果数据库,绘制了按标高水平的单元预测图,开发了预测结果可视化查询系统。按照预测结果设计施工的深部找矿钻孔在大厂长坡区深部和铜坑深部区发现了新的隐伏矿体,验证了预测模型及预测结果的有效性。

       

      Abstract: Abstract:Crisis mines and old mines possess great mineral resource potentials in their deep and marginal parts, but the search for resources in the depth is frequently confronted with enormous difficulties and risks. Old mines have usually experienced high degrees of exploration and exploitation, resource prognosis and prospecting goals have to be transferred to the three-dimensional space in the depth, and geophysical and geochemical anomaly information is strongly interfered by mining activities. Therefore, the adoption of new prognostic and appraisal methods for crisis mine prospecting seems to be an important means for making breakthrough in the appraisal and prospecting work in the deep and marginal parts of old mines. Aimed at solving the problems of evaluating and prospecting for replaceable resources in crisis mines, this paper established a core workflow for the stereoscopic quantitative prediction of concealed ore bodies, i.e., the flow chart of "geological data integration→quantitative mineralization information extraction→three-dimensional quantitative prediction", by using a data-driven and knowledge-driven combination method. From the viewpoint of the field analysis, the ore-controlling field models of magmatites, faults, strata, lithology and folds and the mineralization distribution filed model were constructed, with their solutions reached by transferring continuous models into discrete models. By means of statistical analysis and nonlinear programming, the correlation between geological ore-controlling fields and mineralization indexes was analyzed, and then the quantitative location parameters which describe the control of geological factors over mineralization were extracted. Thus the quantitative index set of geological ore-controlling factors was obtained. The stereoscopic quantitative prediction models composed of mineralization mathematical models and ore potential estimation models were built on the basis of the relationship between the mineralization indexes and the geological ore-controlling factor indexes. With the prediction models, the three-dimensional localization and quantitative prediction of concealed ore bodies were carried out in the deep and marginal parts of the Dachang mine, and the prediction database was created, based on which the unit prediction maps were drawn according to elevation levels. A three-dimensional visualization software system for displaying and querying the prediction results was developed. Deep prospecting drill holes were designed and put in practice following the prediction results and new ore bodied were thus found in the depth of the Changpo section and the Tongkeng section within the Dachang mine, which shows that the prediction models and results are effective.

       

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