二维自相关方法在识别地质构造中的应用

THE RECOGNITION OF GEOLOGICAL STRUCTURES

把位场看作一随机信号 ,利用二维自相关方法对位场数据进行处理 ,能够客观有效地提取地质构造信息。在获取地质构造信息方面 ,该方法克服了水平方向导数 ( 0° ,45° ,90°,135°)的主观因素 ,但损失了数据窗边缘信息。通过对鄂尔多斯盆地西北缘航磁异常的二维自相关方法的应用研究 ,得出该方法能有效地识别有边界的深大断裂带的认识。

Regarded as a random signal, Potential Field can be processed by two-dimensional autocorrelation method. In this way, some objective tectonic information can be effectively acquired. The two-dimensional autocorrelation method can overcome some subjective factors of horizontal directional derivatives(0° ,45°,90°,135°). In addition, the result from the analytical method is clear and straightforward, and the strikes of some boundary faults can be clearly defined. The shortcoming of the method is that some information of the data window margin may be lost. Nevertheless, this problem can be easily solved, for example, by sliding analytical windows or by adding grid data to windows. The application of this method to northwestern Ordos Basin on the basis of aeromagnetic anomalous data shows that some boundary faults, such as Helanshan fault, Langshan-Bayanwulashan fault, Zuozishan-Hengshanbao fault and Xiaosongshan fault, can be directly detected. It is also found that Helanshan fault is not very deep.