A novel approach for the rapid interpretation of magnetic tensor data is introduced. Magnetic tensor fields are significantly more sensitive to local anomalies than the traditional total magnetic intensity data (TMI). Threedimensional (3D) iterative magnetic gradient migration is a stable, solid, and alternative technique to solve the disadvantages of inverse problem. The approach can obtain a stable migration image by direct integral transforming an observed tensor field contaminated with a high-noise dataset into a subsurface susceptibility. Moreover, a focusingstabilizing functional is considered into the migration framework to produce more accurate images of distributionof sharp susceptibility anomalies with the correct depth in subsurface formations. An experimental study and a realistic geology model are carried out to investigate the effectiveness of this new method to ascertain how the noise level would influence the stability of migration results. Results show a stable image with high resolution.

Presentation Date: Monday, September 16, 2019

Session Start Time: 1:50 PM

Presentation Time: 2:40 PM

Location: Poster Station 1

Presentation Type: Poster

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