地质体科学计算可视化研究及其应用


Autoria(s): 赵树贤
Contribuinte(s)

罗晓容

Data(s)

2002

Resumo

Describing visually space-time properties of geological phenomena consists of one of the most important parts in geology research. Such visual images are of usually helpful for analyzing geological phenomena and for discovering the regulations behind geological phenomena. This report studies mainly three application problems of scientific visualization in geology: (Dvisualizing geological body A new geometric modeling technique with trimmed surface patches has been eveloped to visualize geological body. Constructional surfaces are represented as trimmed surfaces and a constructional solid is represented by the upper and lower surface composed of trimmed surface patches from constructional surfaces. The technique can completely and definitely represent the structure of geological body. It has been applied in visualization for the coal deposit in Huolinhe, the aquifer thermal energy storage in Tianjin and the structure of meteorite impact in Cangshan et al. (2)visualizing geological space field Efficient visualization methods have been discussed. Marching-Cube algorithm used has been improved and is used to extract iso~surface from 3D data set, iso-line from 2D data set and iso-point from ID data set. The improved method has been used to visualize distribution and evolution of the abnormal pressures in Zhungaer Basin. (3)visualizing porous space a novel way was proposed to define distance from any point to a convex set. Thus a convex set skeleton-based implicit surface modeling technique is developed and used to construct a simplified porous space model. A Buoyancy Percolation numerical simulation platform has been developed to simulate the process of migration of oil in the porous media saturated with water.

Identificador

http://159.226.119.211/handle/311031/2012

http://www.irgrid.ac.cn/handle/1471x/174642

Idioma(s)

中文

Fonte

地质体科学计算可视化研究及其应用.赵树贤[d].中国科学院地质与地球物理研究所,2002.20-25

Palavras-Chave #科学计算可视化 #地质体 #裁剪曲面 #MC算法 #孔隙空间 #隐曲面 #数值模拟
Tipo

学位论文