Title :
Modeling and Inversion of Magnetic Anomalies Caused by Sediment–Basement Interface Using Three-Dimensional Cauchy-Type Integrals
Author :
Hongzhu Cai ; Zhdanov, Michael S.
Author_Institution :
Consortium for Electromagn. Modeling & Inversion, Univ. of Utah, Salt Lake City, UT, USA
Abstract :
This letter introduces a new method for the modeling and inversion of magnetic anomalies caused by crystalline basements. The method is based on the 3-D Cauchy-type integral representation of the magnetic field. Traditional methods use volume integrals over the domains occupied by anomalous susceptibility and on the prismatic representation of the volumes with an anomalous susceptibility distribution. Such discretization is computationally expensive, particularly in 3-D cases. The technique of Cauchy-type integrals makes it possible to represent the magnetic field as surface integrals, which is particularly significant in solving problems of the modeling and inversion of magnetic data for the depth to the basement. In this letter, a novel method is proposed, which only requires discretizing the magnetic contrast surface for modeling and inversion. We demonstrate the method using several synthetic models. The results show that the new method is fast and capable of providing high-resolution depth estimation for the sediment-basement interface.
Keywords :
geomagnetism; integral equations; inverse problems; magnetic susceptibility; sediments; 3D Cauchy-type integral representation; 3D Cauchy-type integrals; anomalous susceptibility distribution; crystalline basement; high-resolution depth estimation; magnetic anomaly inversion; magnetic anomaly modeling; magnetic contrast surface discretization; magnetic data inversion; magnetic field; sediment-basement interface; surface integrals; volume integral; volume prismatic representation; Computational modeling; Data models; Gravity; Magnetic domains; Magnetic separation; Magnetic susceptibility; Magnetization; Basement depth; Cauchy-type integral; inversion; magnetic;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2347275