秘鲁北部地区地学信息应用与成矿远景区预测研究
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摘要
随着地质学的进步以及找矿难度的增加,地质矿产勘查工作也由传统的找矿走向高科技的应用,找矿工作逐渐由直接找矿转向理论找矿、信息找矿。以矿产资源勘察和找矿预测为目的,利用地质矿产、遥感、地球物理、地球化学等数据,进行信息提取,综合处理和分析,优选最佳的地质、遥感、物探、化探找矿异常区,圈定成矿远景区。
本文以秘鲁北部地区为研究区,并设定特征研究区,以特征研究区为重点,再对整个研究区进行成矿预测区圈定。首先,搜集区内与成矿相关的地质、矿产、遥感、地球化学、地球物理等数据资料,并对这些多源数据进行信息提取及异常分析；其次,根据构造、地层、侵入岩等控矿条件,结合地球物理、地球化学、遥感等多源信息对研究区进行综合分析；再次,利用成矿条件有利信息分析对地学信息进行综合分析,优选成矿有利因素；最后,结合研究区的地质概况和成矿有利因素对研究区进行成矿远景区圈定,并对预测结果进行评价与分析。本文最后共圈定出14处成矿远景区。对预测结果分析表明,圈定出的远景区基本上与区内地质、矿产和以及源信息吻合得较好,符合地质事实,对研究区进一步找矿具有一定的指导意义。
利用地学信息进行综合分析,不仅提高了区内找矿工作的效率,其预测结果更直观。总的说来,该方法在秘鲁北部地区矿产资源预测取得的效果比较良好,达到了成矿预测的目的。
Along with the progress of geology as well as the increase of prospecting difficulties, the traditional prospecting methods have been replaced by high-tech methods. Meanwhile, the latest prospecting theory and modern information systems are playing a more and more important role in prospecting works. Taking the mineral resource reconnaissance and the prospecting forecast as goals, modern prospecting methods can use the data of mineral resources, remote sensing, geophysical and geochemical exploration to perform information extraction, integration and analysis, in order to pick out the zones with best anomalies and thereon define the prospective mineralized area.
In this paper, as the study area in north Peru, and set the characteristics of study area. The characteristics of the study area as a model for predicted area delineation of mineralization to the whole study area. First, collection of data which associated with the mineralization including geology, mineral, remote sensing, geochemistry and geophysics, then extraction information and abnormal from these multivariate geological data; Second, according to structure, stratigraphy, intrusive rocks ore-controlling conditions, combined with geophysics, geochemistry, remote sensing and other geological information on a comprehensive analysis of the study area; Third, using favorable conditions of mineralization analysis function of the extracted geological information were analyzed, the initial establishment of favorable conditions for mineralization model, optimization forming factors, and ultimately to determine favorable conditions for mineralization; The last, study area with geology and mineralization favorable factors in the study area delineate prospective areas for mineralization, and the forecast evaluation and analysis of the results. This paper delineated out of the mineralization prospective area a total of 14. On the predicted results showed that the prospective areas had a better fit with the geology, mineral resources and a variety of multi-source information of the study area, consistent with geological facts, and having very good indication significance for further exploration of the study area.
Using the geological data was analyzed, not only improves the efficiency of exploration, but also makes the predicted results more intuitive. Overall, Prediction of mineral resources in the north Peru using this method has achieved relatively good results, reaching the purpose of forming projections.
本文以秘鲁北部地区为研究区,并设定特征研究区,以特征研究区为重点,再对整个研究区进行成矿预测区圈定。首先,搜集区内与成矿相关的地质、矿产、遥感、地球化学、地球物理等数据资料,并对这些多源数据进行信息提取及异常分析；其次,根据构造、地层、侵入岩等控矿条件,结合地球物理、地球化学、遥感等多源信息对研究区进行综合分析；再次,利用成矿条件有利信息分析对地学信息进行综合分析,优选成矿有利因素；最后,结合研究区的地质概况和成矿有利因素对研究区进行成矿远景区圈定,并对预测结果进行评价与分析。本文最后共圈定出14处成矿远景区。对预测结果分析表明,圈定出的远景区基本上与区内地质、矿产和以及源信息吻合得较好,符合地质事实,对研究区进一步找矿具有一定的指导意义。
利用地学信息进行综合分析,不仅提高了区内找矿工作的效率,其预测结果更直观。总的说来,该方法在秘鲁北部地区矿产资源预测取得的效果比较良好,达到了成矿预测的目的。
Along with the progress of geology as well as the increase of prospecting difficulties, the traditional prospecting methods have been replaced by high-tech methods. Meanwhile, the latest prospecting theory and modern information systems are playing a more and more important role in prospecting works. Taking the mineral resource reconnaissance and the prospecting forecast as goals, modern prospecting methods can use the data of mineral resources, remote sensing, geophysical and geochemical exploration to perform information extraction, integration and analysis, in order to pick out the zones with best anomalies and thereon define the prospective mineralized area.
In this paper, as the study area in north Peru, and set the characteristics of study area. The characteristics of the study area as a model for predicted area delineation of mineralization to the whole study area. First, collection of data which associated with the mineralization including geology, mineral, remote sensing, geochemistry and geophysics, then extraction information and abnormal from these multivariate geological data; Second, according to structure, stratigraphy, intrusive rocks ore-controlling conditions, combined with geophysics, geochemistry, remote sensing and other geological information on a comprehensive analysis of the study area; Third, using favorable conditions of mineralization analysis function of the extracted geological information were analyzed, the initial establishment of favorable conditions for mineralization model, optimization forming factors, and ultimately to determine favorable conditions for mineralization; The last, study area with geology and mineralization favorable factors in the study area delineate prospective areas for mineralization, and the forecast evaluation and analysis of the results. This paper delineated out of the mineralization prospective area a total of 14. On the predicted results showed that the prospective areas had a better fit with the geology, mineral resources and a variety of multi-source information of the study area, consistent with geological facts, and having very good indication significance for further exploration of the study area.
Using the geological data was analyzed, not only improves the efficiency of exploration, but also makes the predicted results more intuitive. Overall, Prediction of mineral resources in the north Peru using this method has achieved relatively good results, reaching the purpose of forming projections.
引文
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