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http://dx.doi.org/10.7582/GGE.2013.16.3.119

3D Modeling and Inversion of Magnetic Anomalies  

Cho, In-Ky (Department of Geophysics, Kangwon National University)
Kang, Hye-Jin (Department of Geophysics, Kangwon National University)
Lee, Keun-Soo (Department of Geophysics, Kangwon National University)
Ko, Kwang-Beom (Korea Resources Corporation)
Kim, Jong-Nam (Korea Resources Corporation)
You, Young-June (Korea Resources Corporation)
Han, Kyeong-Soo (Korea Resources Corporation)
Shin, Hong-Jun (Korea Resources Corporation)
Publication Information
Geophysics and Geophysical Exploration / v.16, no.3, 2013 , pp. 119-130 More about this Journal
Abstract
We developed a method for inverting magnetic data to recover the 3D susceptibility models. The major difficulty in the inversion of the potential data is the non-uniqueness and the vast computing time. The insufficient number of data compared with that of inversion blocks intensifies the non-uniqueness problem. Furthermore, there is poor depth resolution inherent in magnetic data. To overcome this non-uniqueness problem, we propose a resolution model constraint that imposes large penalty on the model parameter with good resolution; on the other hand, small penalty on the model parameter with poor resolution. Using this model constraint, the model parameter with a poor resolution can be effectively resolved. Moreover, the wavelet transform and parallel solving were introduced to save the computing time. Through the wavelet transform, a large system matrix was transformed to a sparse matrix and solved by a parallel linear equation solver. This procedure is able to enormously save the computing time for the 3D inversion of magnetic data. The developed inversion algorithm is applied to the inversion of the synthetic data for typical models of magnetic anomalies and real airborne data obtained at the Geumsan area of Korea.
Keywords
magnetic data; 3D inversion; non-uniqueness; resolution model constraint; wavelet transform;
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