소형루프 전자탐사 자료의 시간경과 역산
Time-lapse Inversion of Small Loop EM Data
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Small loop electromagnetic (EM) method has the ability to provide continuous conductivity distribution at shallow depth. Especially, this method is very suitable for monitoring conductivity variation in the subsurface because data acquisition is very rapid and non-destructive. In this study, we developed a time-lapse inversion algorithm to effectively interpret monitoring data. The developed inversion algorithm imposes a big penalty on model parameter with small change, while a minimal penalty on model parameter with large change compared with a reference model. Consequently, inversion result shows a focused image where model parameters changed greatly. Applying the method on the inversion of synthetic 2.5D small loop EM monitoring data, we can ensure that it is effective in the detection of areas which show great change between a reference and time-lapse model.
Abstract
Small loop electromagnetic (EM) method has the ability to provide continuous conductivity distribution at shallow depth. Especially, this method is very suitable for monitoring conductivity variation in the subsurface because data acquisition is very rapid and non-destructive. In this study, we developed a time-lapse inversion algorithm to effectively interpret monitoring data. The developed inversion algorithm imposes a big penalty on model parameter with small change, while a minimal penalty on model parameter with large change compared with a reference model. Consequently, inversion result shows a focused image where model parameters changed greatly. Applying the method on the inversion of synthetic 2.5D small loop EM monitoring data, we can ensure that it is effective in the detection of areas which show great change between a reference and time-lapse model.
참고문헌 (14)
- 조인기, "주 대상체 강조법에 의한 소형루프 전자탐사 자료의 역산", 물리탐사, 9(4), pp.299~303 (2006), 한국물리탐사학회
- 조인기, "확장된 Born 근사에 의한 시추공간 전자탐사 2.5차원 모델링", 물리탐사, 1, pp.127~135 (1998)
- 조인기, "확장 Born 근사에 의한 소형루프 전자탐사법의 2.5 차원 모델링", 물리탐사, 10(4), pp.308~313 (2007), 한국물리탐사학회
- 조인기, "확장된 Born 근사에 의한 EM 토모그래피", 물리탐사, 1, pp.155~160 (1998)
- Constable, S. C., "Occam’s inversion: a practical algorithm for generating smooth models from EM sounding data", Geophysics, 52, pp.289~300 (1987)
- Day-Lewis, F. D., "Time-lapse inversion of crosswell radar data", Geophysics, 66, pp.1740~1752 (2002)
- Habashy, T. M., "Beyond the Born and Rytov approximations", Journal of Geophysical Research, 98, pp.1759~1775 (1993)
- Kim, J. H., "Least-squares inversion of DC resistivity data acquired over dynamically changing earth model", Proceedings of Near Surface 2006 the 12’th European meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers (2006)
- LaBrecque, D. J., "Difference inversion of ERT data, A fast inversion method for 3-D in-situ monitoring", Journal of Environmental and Engineering Geophysics, 6, pp.83~89 (2001)
- Loke, M. H., "“Time-lapse resistivity imaging inversions,” Environmental and Engineering Geophysical Society European Section, Meeting, Proceedings, Em1", ~ (1999)
- Oldenborger, G. A., "Time-lapse ERT monitoring of an injection", withdrawal experiment in a shallow unconfined aquifer, 2007, pp.72, F177~F188
- Portniaguine, O., "Focusing geophysical inversion images", Geophysics, 64, pp.874~887 (1999)
- Torres-Verdin, C., "Rapid 2.5 dimensional forward modeling and inversion via a new nonlinear scattering approximation", Radio Science, 29, pp.1051~1079 (1995)
- Yi, M. J., "Enhancing the resolving power of least-squares inversion with active constraint balancing", Geophysics, 68, pp.931~941 (2003)