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。
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.
出处
《地质找矿论丛》
CAS
CSCD
2017年第1期120-125,共6页
Contributions to Geology and Mineral Resources Research
基金
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”(编号:遥H1142-8)资助
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
U-deposit
geochemical data procession
fractal method
content-area method
fractal trend-surface method