| 多重分形方法在铀矿化探数据处理中的应用 |
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| 引用本文： | 赵宁博,付锦,刘涛,ZHANG Donghui. 多重分形方法在铀矿化探数据处理中的应用[J]. 地质找矿论丛, 2017, 32(1): 120-125. DOI: 10.6053/j.issn.1001-1412.2017.01.015 |
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| 作者姓名： | 赵宁博 付锦 刘涛 ZHANG Donghui |
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| 作者单位： | 核工业北京地质研究院,遥感信息与图像分析技术国家级重点实验室,北京100029 |
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| 基金项目： | 国防科工局核能开发项目“准噶尔大型叠合盆地地浸砂岩型铀矿预测技术研究” |
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| 摘 要： | 化探勘查数据的分布规律十分复杂,具有多重分形的特征,可用分形理论研究符合化探数据的分布规律。针对不同类型铀矿床的化探特征,选取分形理论中的部分方法进行研究并与传统方法对比。用含量-面积法处理某碳硅泥岩型铀矿区的水系沉积物数据,可以缩小异常区范围而且不遗漏矿点,减少勘查工作量;用分形趋势面法处理某砂岩型铀矿区的活性炭测氡数据,能够有效地强化弱异常信息,提升找矿效果。
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| 关 键 词： | 铀矿床 化探数据处理 分形方法 含量-面积法 分形趋势面法 |
| 收稿时间： | 2016-07-12 |
Application of Multifractal Theory to Procession of Geochemical Data of Uranium Deposit |
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| ZHAO Ningbo,FU Jin,LIU Tao and ZHANG Donghui. Application of Multifractal Theory to Procession of Geochemical Data of Uranium Deposit[J]. Contributions to Geology and Mineral Resources Research, 2017, 32(1): 120-125. DOI: 10.6053/j.issn.1001-1412.2017.01.015 |
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| Authors: | ZHAO Ningbo FU Jin LIU Tao ZHANG Donghui |
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| Affiliation: | National Key Lab of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China,National Key Lab of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China,National Key Lab of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China and National Key Lab of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China |
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| Abstract: | The distribution of geochemical exploration data is very complex characterized by multifractal.Fractal theory conforms to the data distribution.According to the geochemical data characteristics of different types of uranium deposits the author selected some fractal methods to study the data and the result is compared with that of the traditional method.For instance,data procession of the carbonate-siliceouspelitic type uranium deposit by content-area method reduced abnormal area and no ore occurrences missed thus reduce the exploration workload;procession of the activated carbon-measured radon data of sandstone-type uranium deposit by fractal trend-surface method enhanced the weak anomaly thus improved the prospecting effect. |
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| Keywords: | U-deposit geochemical data procession fractal method content-area method fractal trend-surface method |
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