3D gravity inversion with Euler deconvolution as a priori information
Hyoungrae Rim 1 Yeong-Sue Park 1 3 Mutaek Lim 1 Sung Bon Koo 1 Byung Doo Kwon 21 Korea Institute of Geoscience and Mineral Resources, 30 Gajeong-dong, Yuseong-gu, Daejeon 305-350, Korea.
2 Department of Earth Sciences Education, Seoul National University, San 56-1, Sillim-dong, Gwank-gu, Seoul 151-742, Korea.
3 Corresponding author. Email: yspark@kigam.re.kr
Exploration Geophysics 38(1) 44-49 https://doi.org/10.1071/EG07010
Submitted: 3 November 2006 Accepted: 10 January 2007 Published: 5 April 2007
Abstract
It is difficult to obtain high-resolution images by 3D gravity inversion, because the problem is extremely underdetermined – there are too many model parameters. In order to reduce the number of model parameters we propose a 3D gravity inversion scheme utilising Euler deconvolution as a priori information. The essential point of this scheme is the reduction of the nonuniqueness of solutions by restricting the inversion space with the help of Euler deconvolution. We carry out a systematic exploration of the growing body process, but only in the restricted space within a certain radius of the Euler solutions. We have tested our method with synthetic gravity data, and also applied it to a real dataset, to delineate underground cavities in a limestone area. We found that we obtained a more reasonable subsurface density image by means of this combination between the Euler solution and the inversion process.
Key words: Euler deconvolution, gravity inversion, nonuniqueness.
Acknowledgment
This work was supported by the Basic Research Project ‘Development of fusion techniques of precise subsurface imaging’ of the Korea Institute of Geoscience and Mineral Resources (KIGAM) funded by the Ministry of Science and Technology of Korea. The authors thank reviewers Yasukuni Okubo and Heuisoon Lee as for their thoughtful comments. We also thank Lindsay Thomas for kindly assistance with improving the quality of this paper.
Butler, D. K., 1984, Microgravimetric and gravity gradient techniques for detection of subsurface cavities Geophysics 49, 1084–1096.
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Thompson, D. T., 1982, EULDPH: A new technique for making computer-assisted depth estimates from magnetic data Geophysics 47, 31–37.
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