• Proceedings of the Korean Geotechical Society Conference
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• 2010.09a
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• pp.423-427
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• 2010

To develope SOC(social overhead capita) which constructs the railroad, highway etc., the geo-technical foundation have to be well understood for the safety works. In this paper, we selected Moonkyung area for the study area, which has various geological units and geological structure including the big thrust and fold. By this reason one of the geo-technical information is the engineering geology map. To make the map, lithology and soil distribution with drilling data are important elements. Three dimensional geo-infomation is established by fence diagram which is several geological cross sections and/or computer software 3D Geomodeller, EarthVision, GSI3D, Gocad.

• Journal of the Mineralogical Society of Korea
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• v.26 no.4
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• pp.285-297
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• 2013

Ilmenite deposits are developed along the Precambrian intercumulated anorthosite body in Jikjeon-Ri, Bukcheon-Myeon, Hadong, Korea. Both detailed geological survey and drilling prospecting data for seven boreholes can be used to do resource estimation with GOCAD S/W. 3D modeling using geostatistics is applied to predict the shape and size of Ti ore bodies. As a result, 5 Ti ore veins occurred along N-S direction and average grade of Ti and ilmenite resources are calculated as 2.98 wt% Ti and 7,494,303 metric tons ilmenite ore reserves (Ti 223,330 t). This 3D modeling will be applied to the whole ilmenite deposits in Hadong-Sancheong area to predict the exact distribution and resources estimations of Ti ores.

• Geophysics and Geophysical Exploration
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• v.4 no.3
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• pp.80-83
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• 2001

Four seismic reflection horizons in 3-D seismic data, coherence derived from the seismic data, and 38 well logs from the Boonsville Gas Filed in Texas were tried to be integrated and visualized in 3 dimensions. Time surface was constructed from pick times of the reflection horizons. Average velocities to each horizon at 38 well locations were calculated based on depth markers from the well logs and time picks from the 3-D seismic data. The time surface was transformed to depth surface through velocity interpolation. Coherence was calculated on the 3-D seismic data by semblance method. Spatial distribution of the coherence is captured easily in 3-D visualization. Comparing to a time-slice of seismic data, distinctive stratigraphic features could be correctly recognized on the 3-D visualization.