Geostatistical Interpretation of Sparsely Obtained Seismic Data Combined with Satellite Gravity Data

탄성파 자료의 해양분지 구조 해석 결과 향상을 위한 인공위성 중력자료의 지구통계학적 해석

  • Park, Gye-Soon (Dept. Earth Science Education, Seoul National University) ;
  • Oh, Seok-Hoon (Dept. Geosystem Engineering Kangwon National University) ;
  • Lee, Heui-Soon (Dept. Science Education, Gyeongin National University of Education) ;
  • Kwon, Byung-Doo (Dept. Earth Science Education, Seoul National University) ;
  • Yoo, Hai-Soo (Korea Ocean Research and Development Institute)
  • 박계순 (서울대학교 지구과학교육과) ;
  • 오석훈 (강원대학교 지구환경공학부) ;
  • 이희순 (경인교육대학교 과학교육과) ;
  • 권병두 (서울대학교 지구과학교육과) ;
  • 유해수 (한국해양연구원 해양자원연구본부)
  • Published : 2007.11.30


We have studied the feasibility of geostatistics approach to enhancing analysis of sparsely obtained seismic data by combining with satellite gravity data. The shallow depth and numerous fishing nets in The Yellow Sea, west of Korea, makes it difficult to do seismic surveys in this area. Therefore, we have attempted to use geostatistics to integrate the seismic data along with gravity data. To evaluate the feasibility of this approach, we have extracted only a few seismic profile data from previous surveys in the Yellow Sea and performed integrated analysis combining with the results from gravity data under the assumption that seismic velocity and density have a high physical correlation. First, we analyzed the correlation between extracted seismic profiles and depths obtained from gravity inversion. Next, we transferred the gravity depth to travel time using non-linear indicator transform and analyze residual values by kriging with varying local means. Finally, the reconstructed time structure map was compared with the original seismic section given in the previous study. Our geostatistical approach demonstrates relatively satisfactory results and especially, in the boundary area where seismic lines are sparse, gives us more in-depth information than previously available.


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