Research On Geological Modeling And Its Applications

After thousands of year's evolution, most of the geological structures have become very complicated. With the help of computers, the collection, storage, management and establishment of the 3D geological models and the relative spatial analysis on them are urgent requirements in the fields of geological research, geological exploration, mining engineering and water conservancy.The 3D geological modeling is to construct a 3D digital geological model with the appropriate data structures. The 3D geological model should reflect the underlying geological structures and the relations among them. It is a helpful research method for the efficient forecast and estimation of the terrains and physiognomies, mine resource. It is also efficient way to save the exploration cost, reduce the exploration venture. Furthermore it can guide the mine and oil productions and environment analysis. Thus it can bring huge economical and social benefits.The size of geological data is always very large. On the other side, the data is sometimes sparse, irregular and uncertain which are the main obstacles in the 3D geological modeling. Our research tries to solve some aspects of above difficulties in the 3D geological modeling.The thesis is organized as follows:Chapter 1 introduces the 3D geological modeling and their applications. The outlines of our work are also given.Chapter 2 describes how to construct the triangular mesh from the point clouds in the 3D geological modeling. Several triangulation methods are proposed for the different purposes. A point clouds cluster method is also given, which makes the triangulation more reasonable and efficient, and can avoid the meaningless triangles in faults.Chapter 3 introduces some geometric operations on the triangular meshes in the 3D geological modeling, which includes mesh simplification, meshes intersection and split, B-spline surface extension. These operations are helpful to save computing resource and improve the performance.Chapter 4 draws the conclusion and gives some future works.The developed software in this paper can be employed in the analysis and integration of the 3D sparse geological data. It can also split the irregular data with faults. The further research is necessary to process the large size data.