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小波多尺度分析是重磁异常分离的一个重要方法,它不同于如窗口滑动平均法、趋势分析法、匹配滤波等常用方法,因这些方法分离出的局部异常是地质体从某个深度往上直到地表的综合反应,由于近地表地质体及干扰源的作用使得被分离出的局部异常成分复杂、形态较为凌乱、不规整;而用小波多尺度分析分解出的N(N>1)阶细节异常划分的局部异常则为地质体从深度A往上到深度B这一空间段的综合反应,由于其不包含以一阶细节异常为代表的浅层地质体及干扰源异常,异常成分简单、形态规整、为深部地质体的自然反应,适用于研究隐伏岩体与隐伏矿床。通过二次开发解释20世纪80年代采集的月山地区1∶1万地面磁测数据,并最终提交由小波多尺度分析法分解的局部异常成果,其中3个异常与朱冲铁矿的3个矿段相吻合,而这些局部异常却是在未知朱冲铁矿的前提下提取的,可预见其它几个有类似地质条件的局部异常也具找矿前景。
Wavelet multi-scale analysis is an important method for the separation of gravity and magnetic anomalies. It is different from commonly used methods such as window moving average method, trend analysis method and matched filtering method. The local anomalies separated by these methods are the geological bodies from a certain depth Due to the comprehensive response of the surface, the local anomalous components separated due to near-surface geologic bodies and interference sources are complicated and irregular in shape, while N (N> 1) -th order details decomposed by wavelet multi-scale analysis The local anomaly division is the comprehensive response of the geological body from the depth A to the depth B. Because it does not contain the shallow geological bodies represented by the first-order detail anomalies and the anomalies of the interference sources, the anomaly components are simple, The regular pattern is the natural reaction of the deep geological body and is suitable for studying the concealed rock mass and the concealed deposit. Through the secondary development and interpretation, the 1: 10000 surface magnetic survey data collected in the 1980s in the mountain area were interpreted and finally submitted to local anomalous results decomposed by wavelet multiscale analysis. Among them, 3 anomalies were related to 3 The ore sections coincide, and these local anomalies are extracted under the premise of unknown Zhu Chong iron ore. It is foreseeable that several other local anomalies with similar geological conditions also have prospects for prospecting.