Discretization of normalized total gradient based on power mean
Wang Yanguo, Wu Ziying, Deng Juzhi, Yang Yaxin, Huang Song, Luo Xiao
1. Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China University of Technology, Nanchang, Jiangxi 330013, China
Abstract：The normalized total gradient algorithm is a commonly used method for data processing and interpretation of gravity and magnetic data.How-ever,this method cannot recognize the information of multi-sources and identify the geometry of geologic bodies.In order to improve the practicability of the normalized total gradient method,the iterative filtering is used for the stability calculation of downward continuation.And then the power mean function is used for normalized processing.Finally survey lines are discretized on the basis of curve characteristics of the ground total gradient anomaly.Thereout,we propose a discretization of normalized total gradient method based on power mean.Model tests show that the new method can effectively obtain the locations of field sources and the geometry of sources which can be estimated by the best power time.In application,the discretization of the normalized total gradient method based on power mean has higher inversion accuracy and stronger geological explanatory ability than conventional method.
王彦国, 吴姿颖, 邓居智, 杨亚新, 黄松, 罗潇. 基于幂次平均的离散归一化总梯度法[J]. 石油地球物理勘探, 2018, 53(6): 1351-1364.
Wang Yanguo, Wu Ziying, Deng Juzhi, Yang Yaxin, Huang Song, Luo Xiao. Discretization of normalized total gradient based on power mean. Oil Geophysical Prospecting, 2018, 53(6): 1351-1364.
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