张量曲率边界识别方法在煤田火烧区磁异常中的应用

Application of Curvature Gradient Tensor Matrix in Magnetic Anomaly of Burnt Coal Area

为了准确识别煤田火烧区边界位置,对火烧区磁异常进行更加精细的解释,将张量曲率边界识别方法引入到煤田火烧区磁异常的解释中,探讨分析煤田火烧区磁异常的张量曲率特征。根据煤田火烧区磁异常的特点,利用张量曲率的较大特征值和较小特征值分别圈定煤田火烧区和正常区。模型试验中,通过与常用的Theta图以及垂向导数等方法对比,体现了张量曲率分析方法在地质体边界识别中的优越性,验证了该方法在火烧区边界识别中的有效性。将该方法应用于乌达某煤田实测磁异常数据的解释,发现利用该方法圈定的火烧区范围和其他勘探结果以及已知地质资料相符,说明该方法可以准确有效地识别煤田火烧区和正常区边界范围,为煤田火烧区的磁异常解释提供很好的依据。

This paper introduces the curvature gradient tensor matrix（CGTM） method to identify the edge of burnt coal areas more accurately and to interpret the magnetic anomaly in more detail. The characteristics of CGTM of the magnetic anomaly in the burnt coal areas are discussed and analyzed. The characteristics indicate that the larger and smaller eigenvalues of CGTM can be used to identify the burnt coal areas and normal areas of the coalfield. In the model tests, the Theta map and vertical derivative edge detection methods were compared with the CGTM. The results demonstrate that the CGTM method is superior in edge detection of geological sources. The effectiveness of the method was also demonstrated. Finally, the method was applied to interpretation of the magnetic anomaly of Wuda coalfield. The results obtained by CGTM method had good agreement with other known geological data. It shows that the method could accurately and effectively identify the edge of coalfield fire areas and normal areas, and is useful for interpreting the magnetic anomaly of coal fire areas.