重力数据处理方法在钾盐矿勘探中的应用  

The Application of Gravity Data Processing Methods in Sylvite Mine Exploration

作　　者：许少帅 高子龙 王浩文 孙鹏飞 

机构地区：[1]河北工程大学地球科学与工程学院,河北 邯郸

出　　处：《地球科学前沿（汉斯）》2022年第12期1567-1576,共10页Advances in Geosciences

摘　　要：钾盐既是重要的化工原料,也是我国农业发展必需的战略资源,重力勘探因其同时具备便利性与经济性,成为钾盐勘探的首选地球物理勘探方法,选用合适的重力数据处理方法在重力勘探中极为关键。为了探明研究区内寻找钾盐矿的有利位置,本文采用了解析延拓法与小波分析法对研究区重力异常进行了分离,采用归一化标准差法对研究区内地下地质体进行了边界识别,并对所得结果进行了综合对比分析,最后对研究区内的成矿远景区做出了预测。Sylvite is both an important chemical material and a strategic resource necessary for the devel-opment of agriculture in China. Gravity exploration has become the preferred geophysical explo-ration method for Sylvite exploration because of its convenience and economy, and the selection of a suitable gravity data processing method is crucial in gravity exploration. In order to identify the favorable location of sylvite mine in the study area, this paper decomposes the gravity anomalies in the study area by analytic continuation and wavelet analysis, identifies the boundary of the underground geological body in the study area by normalized standard deviations method, and conducts a comprehensive comparative analysis of the results obtained, and finally predicts the prospective mineralization area in the study area.

关 键 词：重力数据处理方法 钾盐勘探 重力异常分离 边界识别 

分 类 号：P61[天文地球—矿床学]