Development of Software for Mineral Resources Estimation and 3D Modeling using Variogram

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2009 Vol.46, Issue 2 Preview Page Next Page

Development of Software for Mineral Resources Estimation and 3D Modeling using Variogram 베리오그램을 이용한 광체 평가 및 3차원 모델링 소프트웨어 개발: 김성중, 박형동
Seongjung Kim and Hyeong-Dong Park

30 April 2009. pp. 151-159

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Abstract

In this study, new software for mineral resource estimation and 3D modeling using geostatistics was developed. Thus it is possible to make 3D variogram maps using topography data and borehole data, and to estimate the strike and dip of ore reserve. 3D mineral resource estimation can be performed using 3D isotorpy․anisotropy variogram modeling and Kriging. By using the OpenGL (Open Graphics Library), it is possible to visualize various types of geo-information data such as topography, borehole, estimated 3D mineral resource. This paper describes main functions and details of the software development and implementation.

Keywords

3D Kriging

Variogram

3D mineral resource modeling

Mineral resource estimation

본 연구에서는 지구통계 기법을 활용한 광체 평가 및 3차원 모델링 소프트웨어를 개발하였다. 개발된 소프트웨어를 이용하여 지형정보, 시추정보를 활용하여 3차원 베리오그램 맵을 작성하여 광체의 연장 방향 및 경사를 예측할 수 있고, 3차원 베리오그램 모델링 및 크리깅을 이용한 3차원 광체 품위 예측이 가능하다. 또한 강력한 저수준 렌더링(Rendering) 기능을 제공하는 OpenGL을 이용하여 지형정보, 시추정보, 광체예측결과 등을 효과적으로 3차원 시각화 할 수 있다. 본 논문에서는 개발된 소프트웨어의 주요 기능과 금음광산에 적용결과를 제시하였다.

키워드

3차원 크리깅

베리오그램

3차원 광체 모델링

광체평가

References

곽상환, 이두성, 2001, “GOCAD를 이용한 저류층 속성정보의 3차원 시각화,” 물리탐사, Vol. 4, No. 3, pp. 80-83.
김량희, 양진현, 김승렬, 정연호, 신종기, 최남수, 2005, “정밀조사보고서(모리브뎅, 평해지구),” 대한광업진흥보고서.
Breunig, M., 1999, An approach to the integration of spatial data and system for a 3D geo-information system, Computers & Geosciences 25, pp. 39-48.
de Kemp, E.A, 2000, “3-D Visualization of structural field data: examples from the Archen Caopatina Formation, Abitibi greenstone belt, Quebec, Canada,” Computers and Geosciences, Vol. 26, No. 5, pp. 509-530.
Dirk, B., Meibner, M. and Huttner, T., 1999, OpenGL-assisted occlusion culling for large polygonal models, Computers & Graphics, 23, pp. 667-679.
Gruijters, S.H.L.L., Maljers, D., Veldkamp, J.G., 2005, “3D interpolation of grain size distributions in the upper 5 m of the channel bed of three lower Rhine distribution,” physics and chemistry of the earth, Vol. 30, No. 4, pp. 303-316
Kupfersberger, H. and Deutsch, C. V., 1999, “Methodology for Integrating analog geologic data in 3D variogram modeling,” AAPG Bulletin, Vol. 83, No. 8, pp. 1262-1278.
Li, Z., Zhu, Q. and Gold, C., 2005, “Digital Terrain Modeling: principle and Methodology,” CRC PRESS, pp. 75-77.
Meirvenne, M.V., Maes, K., Hofman, G., 2003, “Threedimensional variability of soil nitrate-nitrogen in an agricultural field,” Biology and fertility of soils, Vol. 37, No. 3, pp. 147-153.
Meyer, D.E., Harvey, E.L., Bulloch, T.E., Voncannon, J.C. and Shefield, T.M., 2002, “Use of Seismic attributes in 3-D geovolume interpretation,” The Leading Edge, pp. 1377-1381.
Williams, T. and Kelly, C., 2004, “gnuplot: An Interactive Plooting Program,” gnuplot manual.
Wu, Q., Xu, H., 2003, “An approach to computer modeling and visualization of geological faults in 3D,” Computers and Geosciences, Vol. 29, No. 4, pp. 503-509.
Wu, Q., Xu, H., Zou, X., 2005, “An effective method for 3D geological modeling with multi-source data integration,” Computers and Geosciences, Vol. 31, No. 1, pp. 35-43.

Information

Publisher :The Korean Society of Mineral and Energy Resources Engineers
Publisher(Ko) :한국자원공학회
Journal Title :Journal of the Korean Society for Geosystem Engineering
Journal Title(Ko) :한국지구시스템공학회지
Volume : 46
No :2
Pages :151-159

[1] 곽상환, 이두성, 2001, “GOCAD를 이용한 저류층 속성정보의 3차원 시각화,” 물리탐사, Vol. 4, No. 3, pp. 80-83.

[2] 김량희, 양진현, 김승렬, 정연호, 신종기, 최남수, 2005, “정밀조사보고서(모리브뎅, 평해지구),” 대한광업진흥보고서.

[3] Breunig, M., 1999, An approach to the integration of spatial data and system for a 3D geo-information system, Computers & Geosciences 25, pp. 39-48.

[4] de Kemp, E.A, 2000, “3-D Visualization of structural field data: examples from the Archen Caopatina Formation, Abitibi greenstone belt, Quebec, Canada,” Computers and Geosciences, Vol. 26, No. 5, pp. 509-530.

[5] Dirk, B., Meibner, M. and Huttner, T., 1999, OpenGL-assisted occlusion culling for large polygonal models, Computers & Graphics, 23, pp. 667-679.

[6] Gruijters, S.H.L.L., Maljers, D., Veldkamp, J.G., 2005, “3D interpolation of grain size distributions in the upper 5 m of the channel bed of three lower Rhine distribution,” physics and chemistry of the earth, Vol. 30, No. 4, pp. 303-316

[7] Kupfersberger, H. and Deutsch, C. V., 1999, “Methodology for Integrating analog geologic data in 3D variogram modeling,” AAPG Bulletin, Vol. 83, No. 8, pp. 1262-1278.

[8] Li, Z., Zhu, Q. and Gold, C., 2005, “Digital Terrain Modeling: principle and Methodology,” CRC PRESS, pp. 75-77.

[9] Meirvenne, M.V., Maes, K., Hofman, G., 2003, “Threedimensional variability of soil nitrate-nitrogen in an agricultural field,” Biology and fertility of soils, Vol. 37, No. 3, pp. 147-153.

[10] Meyer, D.E., Harvey, E.L., Bulloch, T.E., Voncannon, J.C. and Shefield, T.M., 2002, “Use of Seismic attributes in 3-D geovolume interpretation,” The Leading Edge, pp. 1377-1381.

[11] Williams, T. and Kelly, C., 2004, “gnuplot: An Interactive Plooting Program,” gnuplot manual.

[12] Wu, Q., Xu, H., 2003, “An approach to computer modeling and visualization of geological faults in 3D,” Computers and Geosciences, Vol. 29, No. 4, pp. 503-509.

[13] Wu, Q., Xu, H., Zou, X., 2005, “An effective method for 3D geological modeling with multi-source data integration,” Computers and Geosciences, Vol. 31, No. 1, pp. 35-43.

Journal of the Korean Society of Mineral and Energy Resources Engineers ISSN:2288-0291(Print) 2288-2790(Online) 한국자원공학회지

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