Data Fusion of Mineral Exploration Data Sets and Its Application Using Fuzzy Set Theory

광물자원탐사 자료에 대한 데이터 통합과 그 응용사례

  • Sungwon Choi (Department of Earth and Enviromental Sciences, Korea University)
  • Published : 1999.10.01

Abstract

In mineral exploration, there are many data sets which need to be created, processed and analyzed in order to discover a favorable mineralized zone. Recently, with Geographic Information System (GIS), such exploration data sets have been able to be systematically stored and effectively processed using computer technologies. In this study, most exploration data sets were first digitized and then rasterized. Furthermore, they were integrated together by using fuzzy set theory to provide a possibility map toward a target hypothesis. Our target hypothesis is "there is a skarn magnetite deposit in this study" and all fuzzy membership functions were made with respect to the target hypothesis. Test area is extended from 37:00N/l28:30E to 37:20N/I28:45E, approximately 20 km by 40 km. This area is a part of Taebaeksan mineralized areas, where the Sinyemi mine, a skarn magnetite deposit, is located. In final resultant map, high potential or possibility area coincides with the location of the Shinyemi mine. In this regard, we conclude the fuzzy set theory can be effectively applied to this study and provides an excellent example to define potential area for further mineral exploration.

금소광산은 지질학적 특성에 따라 여러 다양한 유형으로 형성되며, 특정원소나 특정광물종이 농집된다. 그러므로 광물자원탐사는 지질자료와 함께 많은 지구화학적 및 지구물리자료를 종합하여 분석처리 할 필요가 있다. 최근 지구과학정보시스템(GIS)이라는 개념이 도입됨에 따라, 도입됨에 따라 다양한 지질자료를 보다 체계적으로 처리할수 있게 되었고 효율적인 광물자원탐사가 가능하게 되었다. 본 연구대상지역 (37:00N/28:30E∼37:20N/128:45E0은 국내의 대표적인 광대화로 알려진 태백산 지역으로 영남육괴의 변성암을 기반으로 하여, 조선계의 퇴적암과 중생대의 화강암으로 구성되어있다. 본 연구에서는 이러한 지질자료와 함께 기보고된 지구화학 및 지구물리 탐사자료들을 디지털화하고 이를 퍼지집합이론에 적용하여 데이터통합을 시도하였다. 본 연구의 결과초써 나타난 스카른 부존가능지역이 기존의 스카론 철광산으로 알려진 신예미 광산 위치와 잘 일치하고 있으며, 이는 본 연구에서 데이터 통합에 사용된 퍼지집합이론이 태백산 지역이 스카른 광상탐사에 효과적이었음을 시사한다.

Keywords

References

  1. Spatial Reasoning and Integration Techniques for Geophysical and Geological Exploration Data An, P.
  2. Canadian Journal of Exploration Geophysics v.27 no.1 Application of Fuzzy set theory to integrated mineral exploration An, P.;Moon, W.M.;Rencz, A.
  3. Non-Renewable Resources v.3 no.1 Uncertainty Management in Integration of Exploration Data Using the Belief Function An, P.;Moon, W.M.;Bonham Carter, G.F.
  4. Geographic Information Systems for Geoscientists: Modeling with GIS Bonham Carter, G.F.
  5. Statistical Applications in the Earth Sciences Weights of evidence modeling: a new approach to mapping mineral potential. In: Agterberg, F.P. Bonham Carter, G.F.;Agterberg, F.P.;Wright, D.F.;Bonham Carter, G.F.(Eds)
  6. Unpublished lecture notes (EES.504) Choi, S.G.
  7. Computers & Geosciences (On revised) Fuzzy Logic Fusion of W-Mo Exploration Data from Seobyeog-ri, Korea Choi, S.;Moon, W.M.;Choi, S.G.
  8. Geology of Canadian Mineral Deposit Types v.8 Skarn Tungsten Dawson, K.M.;Eckstrand, O.R.;Sinclair, W.D.;Thorpe, R.I.(eds.)
  9. Chuncheon map sheet (Scale 1:250,000) Geological and mineral institute of Korea
  10. GRASS 4.2 Reference Manual GRASS Research Group, Baylor University
  11. Geoscience Canada v.19 Skarns and skarn deposits Meinert, L.D.
  12. Mathematical Geology v.25 Interpolation by Reguralized Spline with Tension: I. Theory and Implementation Mitasova, H.;Mitas, L.
  13. IEEE Tran-sactions on Geoscience and Remote Sensing v.28 Integration of geophysical and geological data using evidential belief function Moon, W.M.
  14. Canadian Journal of Remote Sensing v.19 On Mathematical Representation and Integration of Multiple Spatial Geoscience Data Sets Moon, W.M.
  15. Korea Institute of Energy and Resources Aerial gamma ray and Magnetic survey map Park, Y.S.;Koo, J.H.;Suh, S.Y.;Choi, J.H.
  16. Geochemistry in Mineral Exploration Rose, A.W.
  17. Information and Control v.8 Fuzzy Sets Zadeh, L.A.
  18. Fuzzy Sets and Systems v.1 Fuzzy Sets as a Basis for a Theory of possibility Zadeh, L.A.
  19. Fuzzy Sets and Systems v.4 Latent connectives, human decision making Zimmermann, H.;Zysno, J.P.