云南个旧锡矿东区隐伏矿体定位与定量预测研究
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摘要
个旧矿区是我国重要的锡、铜多金属矿集区,其中锡储量200余万吨,堪称世界之最。但矿山经过长期大规模生产,资源消耗极大,目前锡、铜、铅、锌等有色金属的保有储量严重不足。本文以寻找矿山接替资源为目的,在区内展开了隐伏矿体定位定量预测研究。
本研究以GIS和计算机技术为手段,在对研究区几十年来传统地质研究数据与成果进行成矿信息挖掘的基础上,以矿区最新成矿规律为指导,运用数学地质的理论与方法,充分发挥计算机技术的优势,完成了三个不同资料层次的成矿预测研究,即以多光谱遥感为主导成矿预测研究;以地、物、化、遥综合信息为主导的矿区外围二维成矿预测研究以及以三维GIS技术为手段,以重点勘探区高精度勘查资料为基础的三维隐伏矿体成矿预测研究。
第一次层次利用当今主流的多光谱遥感数据ETM、Aster,探讨有效的数据预处理方案,构造信息,岩石组分、蚀变信息等挖掘方法,在此基础上,通过建立区域地质找矿模型,提出基于多光谱遥感技术的成矿预测方案,圈定找矿有利区。第二层次结合个旧东区最新的成矿模式和成矿规律,以成矿预测理论为指导,提取多元地质找矿因子,探讨地球物理地质深部信息反演,地球化学非线性异常识别等技术,并结合第一层次的预测成果,在此基础上进行基于多元成矿信息的二维成矿预测。第三层次是对平面预测的靶区展开三维隐伏矿体预测研究。在详细剖析靶区地质条件与成矿规律的前提下,充分利用矿区的钻探、工程以及高精度地球物理,构造地球化学资料,进行三维成矿信息提取,建立三维数字成矿预测模型,圈定隐伏矿体找矿有利区。
第一、二层次的研究表明个旧东区老矿山边部仍然具有很好的找矿前景。在松矿的西南部,老厂的东西两侧、卡房的东侧,均显示出较好的成矿潜力,其中老厂矿田的东西两侧成矿远景最为良好。第三研究层次的预测结果显示在老厂东地区四个最有利的工程勘察位置中心坐标为X:126000,Y:57700,Z:1150;X:126300,575800,Z:1150;X:125000,Y:578800,Z:1710;X:125600,Y:57800,Z:1700,区内预测Sn潜在资源量为9465吨。
Gejiu tin-copper polymetallic ore deposit, located in the metallogenic belt of Southeast Yunnan, is famous for its huge Sn reserves, numerous mineralization type and very long exploitation history in China as well as in the world. However, after several decade exploitation, the known resource has almost exhausted. Gejiu are suffering shortage of resources. Hence, it has important realistic to carry on mineral recourse exploration using new theory and method. With the purpose of looking for succeeding mineral resources, the paper conducted the Study on Localized and Quantitative Prediction of Concealed deposits in the external and deep of Gejiu eastern district.
GIS and computer technologies were the main tools used in this study. Based on the metallogenic information mining and extraction on the traditional geological data and other exploration information, under the guidance of the newest ore-forming regularity, using the theory and methods of mathematical geology, this paper conducted three levels mineral resources prediction researches based on different known exploration data in Gejiu eastern area. Namely: (1) mineral prediction based on multi-bands remote sensing data. (2) synthetic information based on geological, geophysical, geochemical and remote sensing data.(3)three dimensional concealed ore prediction based on high resolution exploit dada using digital ore deposits model method.
The first level prediction was based on mainstream multi-spectrum remote sensing data ETM and ASTER. The author discussed how to pre-process these two data firstly, and then extracted structure, lithology and alteration information using proper processing methods. Through the establishment of regional geological prospecting model, favorable ore-forming area was delineated using the extracted remote sensing metallogenic information. The second level prediction was based on many multi-source geological data including geological, geochemical, gravity, airborne magnetic and remote sensing data. Under the guidance of regional metallogenic regularities and the geo-anomaly ore forming theory applying, nine diagnostic deposits recognition criteria layers are extracted from those geo-data sets And then, these deposits recognition criteria layers are combined in the weight of evidence (WolE) model which uses the spatial correlations between the evidence lays and the known mineral occurrences to calculation the posterior probability map and indentify the delineate the prospective area. The third level prediction was based on high resolution geophysical and geochemical data, as well as the geological profiles. Through establishing 3D model of geological units using exciting commercial 3D modeling software, the author extracted 3D metallogenic recognition criteria. And then conducted concealed ore bodies prediction“using cube Prediction model”method.
The first and second prediction results show that peripheral areas of known ore fields are still with great potential for mineral exploration.The most favorable target area is located in the eastern flank of Laochang ore field. The third level prediction shows that the most promising location for reconnaissance drilling is (X: 126000, Y: 57700, Z: 1150; X: 126300,575800, Z: 1150; X: 125000, Y: 578800, Z: 1710; X: 125600, Y: 57800, Z: 1700). And Sn resource with the grade above 0.07% is estimated to be 9465 tons.
本研究以GIS和计算机技术为手段,在对研究区几十年来传统地质研究数据与成果进行成矿信息挖掘的基础上,以矿区最新成矿规律为指导,运用数学地质的理论与方法,充分发挥计算机技术的优势,完成了三个不同资料层次的成矿预测研究,即以多光谱遥感为主导成矿预测研究;以地、物、化、遥综合信息为主导的矿区外围二维成矿预测研究以及以三维GIS技术为手段,以重点勘探区高精度勘查资料为基础的三维隐伏矿体成矿预测研究。
第一次层次利用当今主流的多光谱遥感数据ETM、Aster,探讨有效的数据预处理方案,构造信息,岩石组分、蚀变信息等挖掘方法,在此基础上,通过建立区域地质找矿模型,提出基于多光谱遥感技术的成矿预测方案,圈定找矿有利区。第二层次结合个旧东区最新的成矿模式和成矿规律,以成矿预测理论为指导,提取多元地质找矿因子,探讨地球物理地质深部信息反演,地球化学非线性异常识别等技术,并结合第一层次的预测成果,在此基础上进行基于多元成矿信息的二维成矿预测。第三层次是对平面预测的靶区展开三维隐伏矿体预测研究。在详细剖析靶区地质条件与成矿规律的前提下,充分利用矿区的钻探、工程以及高精度地球物理,构造地球化学资料,进行三维成矿信息提取,建立三维数字成矿预测模型,圈定隐伏矿体找矿有利区。
第一、二层次的研究表明个旧东区老矿山边部仍然具有很好的找矿前景。在松矿的西南部,老厂的东西两侧、卡房的东侧,均显示出较好的成矿潜力,其中老厂矿田的东西两侧成矿远景最为良好。第三研究层次的预测结果显示在老厂东地区四个最有利的工程勘察位置中心坐标为X:126000,Y:57700,Z:1150;X:126300,575800,Z:1150;X:125000,Y:578800,Z:1710;X:125600,Y:57800,Z:1700,区内预测Sn潜在资源量为9465吨。
Gejiu tin-copper polymetallic ore deposit, located in the metallogenic belt of Southeast Yunnan, is famous for its huge Sn reserves, numerous mineralization type and very long exploitation history in China as well as in the world. However, after several decade exploitation, the known resource has almost exhausted. Gejiu are suffering shortage of resources. Hence, it has important realistic to carry on mineral recourse exploration using new theory and method. With the purpose of looking for succeeding mineral resources, the paper conducted the Study on Localized and Quantitative Prediction of Concealed deposits in the external and deep of Gejiu eastern district.
GIS and computer technologies were the main tools used in this study. Based on the metallogenic information mining and extraction on the traditional geological data and other exploration information, under the guidance of the newest ore-forming regularity, using the theory and methods of mathematical geology, this paper conducted three levels mineral resources prediction researches based on different known exploration data in Gejiu eastern area. Namely: (1) mineral prediction based on multi-bands remote sensing data. (2) synthetic information based on geological, geophysical, geochemical and remote sensing data.(3)three dimensional concealed ore prediction based on high resolution exploit dada using digital ore deposits model method.
The first level prediction was based on mainstream multi-spectrum remote sensing data ETM and ASTER. The author discussed how to pre-process these two data firstly, and then extracted structure, lithology and alteration information using proper processing methods. Through the establishment of regional geological prospecting model, favorable ore-forming area was delineated using the extracted remote sensing metallogenic information. The second level prediction was based on many multi-source geological data including geological, geochemical, gravity, airborne magnetic and remote sensing data. Under the guidance of regional metallogenic regularities and the geo-anomaly ore forming theory applying, nine diagnostic deposits recognition criteria layers are extracted from those geo-data sets And then, these deposits recognition criteria layers are combined in the weight of evidence (WolE) model which uses the spatial correlations between the evidence lays and the known mineral occurrences to calculation the posterior probability map and indentify the delineate the prospective area. The third level prediction was based on high resolution geophysical and geochemical data, as well as the geological profiles. Through establishing 3D model of geological units using exciting commercial 3D modeling software, the author extracted 3D metallogenic recognition criteria. And then conducted concealed ore bodies prediction“using cube Prediction model”method.
The first and second prediction results show that peripheral areas of known ore fields are still with great potential for mineral exploration.The most favorable target area is located in the eastern flank of Laochang ore field. The third level prediction shows that the most promising location for reconnaissance drilling is (X: 126000, Y: 57700, Z: 1150; X: 126300,575800, Z: 1150; X: 125000, Y: 578800, Z: 1710; X: 125600, Y: 57800, Z: 1700). And Sn resource with the grade above 0.07% is estimated to be 9465 tons.
引文
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