Three-dimensional interpretation of sparse survey line MT data: Synthetic examples*
Lin Chang-Hong1,2,3, Tan Han-Dong1,2,3, Shu Qing4, Tong Tuo1,2,3, and Zhang Yu-Mei5
1. State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, 100083, China.
2. Key Laboratory of Geo-detection (China University of Geosciences), Ministry of Education, Beijing, 100083, China.
3. School of Geophysics and Information Technology,China University of Geosciences, Beijing, 100083, China.
4. China Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing, 100083, China.
5. No.812 Geological Party of East China Metallurgical Geology and Exploration Bureau, Tongling, 244008, China.
Abstract：
Currently, most of MT (magnetotelluric) data are still collected on sparse survey lines and interpreted using 2D inversion methods because of the fi eld work cost, the work area environment, and so on. However, there are some 2D interpretation limitations of the MT data from 3D geoelectrical structures which always leads to wrong geological interpretations. In this paper, we used the 3D inversion method to interpret the MT sparse lines data. In model testing, the sparse lines data are the MT full information data generated from a test model and processed using the 3D conjugate gradients inversion code. The inversion results show that this inversion method is reasonable and effective. Meanwhile, we prove that for inversion results with different element parameters, the results by joint inversion of both the impedance tensor data and the tipper data are more accurate and closer to the test model.
Lin, C. H., Tan, H. D., and Tong, T., 2011a, The possibility of obtaining nearby 3D resistivity structure from
[21]
magnetotelluric 2D profile data using 3D inversion: Chinese J. Geophys. (in Chinese), 54(1), 245 - 256.
[22]
Lin, C. H., Tan, H. D., and Tong, T., 2011b, Three-dimensional conjugate gradient inversion of magnetotelluric impedance tensor data: Journal of Earth Science, 22(3), 386 - 395.
[23]
Lin, C. H., Tan, H. D., and Tong, T., 2011c, Three-dimensional conjugate gradient inversion of magnetotelluric full
[24]
information data: Applied Geophysics, 8(1), 1 - 10.
[25]
Mackie, R. L., and Madden, T. R., 1993, Three-dimensional magnetotelluric inversion using conjugate gradients:
[26]
Geophys. J. Int., 115, 215 - 229.
[27]
Newman, G. A., and Alumbaugh, D. L., 2000, Threedimensional magnetotelluric inversion using non-linear
[28]
conjugate gradients: Geophys. J. Int., 140, 410 - 424.
[29]
Siripunvaraporn, W., Egbert, G., Lenbury, Y., and Uyeshima, M., 2005, Three-dimensional magnetotelluric
[30]
inversion: data-space method: Physics of The Earth and Planetary Interiors, 150(1-3), 3 - 14.
[31]
Siripunvaraporn, W., and Egbert, G., 2009, Vertical magnetic field transfer function inversion and parallel
[32]
implementation: Physics of the Earth and Planetary Interiors, 173, 317 - 329.
[33]
Tan, H. D., Yu, Q. F., Booker, J., and Wei, W. B., 2003a, Magnetotelluric three-dimensional modeling using
[34]
the staggered-grid finite difference method: Chinese J. Geophys. (in Chinese), 46(5), 705 - 711.
[35]
Tan, H. D., Yu, Q. F., Booker, J., and Wei, W. B., 2003b, Three-dimensional rapid relaxation inversion for the
[36]
magnetotelluric method: Chinese J. Geophys. (in Chinese), 46(6), 850 - 855.
[37]
Wanamaker, P. E., Hohmann, G. W., and Ward, S. H., 1984, Magnetotelluric responses of three-dimensional bodies in
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