Browse > Article

Joint Inversion of DC Resistivity and Travel Time Tomography Data: Preliminary Results  

Kim, Jung-Ho (Geotechnical Engineering Div., KIGAM)
Yi, Myeong-Jong (Geotechnical Engineering Div., KIGAM)
Cho, Chang-Soo (Earthquake Research Center, KIGAM)
Suh, Jung-Hee (School of Cvil, Urban & Geosystem Engineering, Seoul National University)
Publication Information
Geophysics and Geophysical Exploration / v.10, no.4, 2007 , pp. 314-321 More about this Journal
Abstract
Recently, multi-dimensional joint inversion of geophysical data based on fundamentally different physical properties is being actively studied. Joint inversion can provide a way to obtaining much more accurate image of the subsurface structure. Through the joint inversion, furthermore, it is possible to directly estimate non-geophysical material properties from geophysical measurements. In this study, we developed a new algorithm for jointly inverting dc resistivity and seismic traveltime data based on the multiple constraints: (1) structural similarity based on cross-gradient, (2) correlation between two different material properties, and (3) a priori information on the material property distribution. Through the numerical experiments of surface dc resistivity and seismic refraction surveys, the performance of the proposed algorithm was demonstrated and the effects of different regularizations were analyzed. In particular, we showed that the hidden layer problem in the seismic refraction method due to an inter-bedded low velocity layer can be solved by the joint inversion when appropriate constraints are applied.
Keywords
joint inversion; dc resistivity; seismic refraction tomography; cross-gradient; a priori information; correlation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 de Nardis, R., Cardarelli, E., and Dobroka, M., 2005, Quasi-2D hybrid joint inversion of seismic and geoelectric data, Geophysical Prospecting, 53, 705-716   DOI   ScienceOn
2 Gallardo-Delgado, L. A., Perez-Flores, M. A., and Gomez- Trevino, E., 2003, A versatile algorithm for joint 3D inversion of gravity and magnetic data, Geophysics, 68, 949-959   DOI   ScienceOn
3 Ghose, R., 2006, Quantitative multi-tool data fusion in nearsurface geophysics: new direction, Proceedings of the 8'th SEGJ International Symposium - Imaging and Interpretation, 464-469, 26-28 November, Kyoto, Japan
4 Jupp, D. L. B., and Vozoff, K., 1975, Resolving anisotropy in layered media by joint inversion, Geophysical Prospecting, 25, 460-47   DOI   ScienceOn
5 Lines, L. R., and Treitel, S., 1984, A review of least-squares inversion and its application to geophysical inverse problems, Geophysical Prospecting, 32, 159-186   DOI   ScienceOn
6 Sasaki, Y., 1989, Two-dimensional joint inversion of magnetotelluric and dipole-dipole resistivity data, Geophysics, 54, 254-262   DOI
7 Gallardo, L. A., and Meju, M. A., 2004, Joint two-dimensional DC resistivity and seismic travel time inversion with crossgradient constraints, Journal of Geophysical Research, 109, B03311, doi:10.1029/2003JB002716   DOI
8 Tarantola, A., 1987, Inverse Problem Theory, Esevier Sci., New York
9 방은석, 성낙훈, 김영상, 박삼규, 김정호, 김동수, 2007, 연약지반 조사를 위한 전기비저항 탄성파 Flat DMT 장비의 개발 및 적 용, 2007 한국물리탐사학회, 대한지구물리학회 공동학술대회 논문집, 279-284, 2007. 6.7-8, 한국지질자원연구원, 대전
10 Yi, M.-J., Kim, J.-H., and Chung, S.-H., 2003, Enhancing the resolving power of least-squares inversion with active constraint balancing. Geophysics, 68, 931-941   DOI   ScienceOn
11 Heincke, B., Jegen, M., and Hobbs, R., 2006, Joint inversion of MT, gravity and seismic data applied to sub-basalt imaging, Proceedings of SEG 2006 Annual Meeting, New Orleans