물리탐사 자료를 이용한 암반등급의 지구통계학적 역산
Geostatistical Inversion of RMR Using Geophysical Data
1
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
Geostatistical inverse approach using geophysical data was applied to indirectly make the RMR classification at points apart from boreholes. The geostatistical approach was usually used to find optimized estimation which supports two or more different physical properties at unsampled points. However, in this study, an approach to solve inverse problem was proposed. The primary variable, RMR values obtained at known boreholes, is geostatistically simulated with many realization at pre-defined grid point according to the variogram model. The simulated values are sequentially compared with the physical property resulted from geophysical survey at an arbitrary grid point, and the most similar one is chosen. This process means that the spatial distribution of primary variable, RMR, is conformed well to the original pattern of the borehole observation, and ensure to fit the geophysical survey result to reflect the correlation between different physical properties.
Abstract
Geostatistical inverse approach using geophysical data was applied to indirectly make the RMR classification at points apart from boreholes. The geostatistical approach was usually used to find optimized estimation which supports two or more different physical properties at unsampled points. However, in this study, an approach to solve inverse problem was proposed. The primary variable, RMR values obtained at known boreholes, is geostatistically simulated with many realization at pre-defined grid point according to the variogram model. The simulated values are sequentially compared with the physical property resulted from geophysical survey at an arbitrary grid point, and the most similar one is chosen. This process means that the spatial distribution of primary variable, RMR, is conformed well to the original pattern of the borehole observation, and ensure to fit the geophysical survey result to reflect the correlation between different physical properties.
참고문헌 (11)
- 박계순, "공간분해능 향상을 위한 이종 물리탐사 자료 의 지구통계학적 복합 해석", 박사, pp.2008
- 오석훈, "탄성파 속도와 전기비저항 자료의 지구통계학적 복합해석에 의한 암반등급의 확률적 평가", 물리탐사, 10(4), pp.293~298 (2007), 한국물리탐사학회
- 이광배, "초음파 주사검층 방법을 이용한 암반강도 평가에 관한 연구", 물리탐사, 7(4), pp.225~233 (2004), 한국물리탐사학회
- 최재화, "전기비저 항과 터널막장 암반분류의 상관성 검토", 대한지구물리 학회 제4차 정기총회 및 학술발표회 (2001)
- Bortoli, L. J., "Constraining stochastic images to seismic data" (1992), Kluwer Academic Press
- Goovaert, P., "Geostatistics for natural resources evaluation" (1997), Oxford University Press
- Haas, A., "Geostatistical inversion - a sequential method of stochastic reservoir modeling constrained by seismic data", First Break, 12(11), pp.561~569 (1994)
- Issaks, E.H., "An introductions to applied geostatistics" (1989), Oxford University Press
- Oh, S., "Geostatistical integration of MT and borehole data for RMR evaluation", Environmental Geology, 46, pp.1070~1078 (2004)
- Ozturk, C.A., "Geostatistical assessment of rock zones for tunneling", Tunneling and Underground Space Technology, 17, pp.275~285 (2002)
- 류동우, "RMR의 불확실성 모델링을 위한 지구통계학적 시뮬레이션 기법에 관한 연구", 터널과 지하공간, 13(2), pp.87~99 (2003), 한국암반공학회