Three-dimensional Morphological Analysis Method For Geological Interfaces Based On TIN And Its Application

Three-dimensional(3D) visual prediction of concealed ore bodies gradually formed with the development of quantitative evaluation of mineral resources,3D geological modeling and spatial information technology, can make 3D localization, quantitative and precise prediction of concealed ore bodies in the deep and marginal parts of mines with lower cost, and it have been successful in practice.3D expression of geological phenomena, and an effective and accurate extraction of metallogenic informations are the key technical issues which affect the success of prediction of concealed ore bodies, and a vector-based 3D morphological analysis method which can effectively extract the 3D shape of geological bodies and meet the needs of the prediction is a new way to solve such problems.Geological interface shapes have close spatial relationships with the distribution of ore bodies widely exists, but existing GIS spatial analysis methods can not effectively extract and express those geological ore-controling factors, combining with 3D geological modeling, spatial interpolation, geological field and spatial analysis theory, a new method of morphological analysis method for geological interfaces based on TIN model is presented.The method uses 3D TIN model to simulate geological interfaces, and calculates the general geometry parameters (slope, angle, etc.) and distance field of geological surfaces with Geometric and computer graphics principles. Based on space interpolation and shape trend-fluctuation analysis, classification trends and fluctuations of geological interfaces are extracted. Quantitative simulation of geological ore-controlling factors is achieved by using 3D raster model.The main ore-controlling geological interfaces of Dingjiashan lead-zinc deposit in Fujian Provice is studied as a practical example of 3D shape analysis. The results show that this method can be more accurate, more efficient for extraction of various geological shape parameters, be effective in quantitative expression of geological ore-controlling factors, and has important significance in stereoscopic quantitative prediction of concealed ore bodies.