Abstract:In this paper,we propose a method for boundary detection and interpretation of magnetic gradient tensor(MGT) data by directional analytic signal.The advantage of this method is that it does not need some prior information about the source shape in the inversion,and the inversion results are less affected by the magnetization direction.The definition of the directional analytic signal and the expression for the boundary detection of the source are given in the paper,and the combination of the directional analytic signal and Euler deconvolution are used to interpret the MGT data.This new method is tested on synthetic magnetic anomalies generated by different models,and the inversion results show that the method can successfully identify the source boundary and interpret the MGT data.The method is also applied to real measured magnetic data,and the distribution of subsurface magnetic sources is obtained.
马国庆, 李丽丽, 杜晓娟. 磁张量数据的边界识别和解释方法[J]. 石油地球物理勘探, 2012, 47(5): 815-821.
Ma Guo-qing, Li Li-li, Du Xiao-juan. Boundary detection and interpretation by magnetic gradient tensor data. OGP, 2012, 47(5): 815-821.