Three Dimensional Random Simulation Of Type And Directional Variables In Geological Data

The type and directional variables in geological data are the key geometric elements to determine the distribution of fracture networks,fracture network of rock mass integrity,continuity and so on,accurate simulation of the fracture network distribution of underground engineering construction,mining design,water conservancy and hydropower engineering construction and the construction of roads,Bridges and other infrastructure has great theoretical value and practical value.Based on the existing theoretical research foundation and results of fractures and a large number of detailed data collected from field surveys,and on the basis of accurately grasping the geological background conditions of Zhuxianzhuang mining area,this paper conducts in-depth statistics,research and analysis on the main geometric characteristic parameters of fractures,such as trace lines,spacing,types and directional variables.According to the unique geological mechanism of fractures,the method of monte-Carlo and geostatistics was used to simulate the three-dimensional network of fractures in Zhuxianzhuang mining area based on the analysis and study of type and direction variables.The main results are as follows:(1)According to the sample collecting Zhu Xianzhuang mining area in a crack in the sample data,the fracture trace map in the map,considering the relationship between the fracture trace and depending on the distance between,on the basis of calculated real spacing of fractures,concluded that within the mining area,the distribution of the actual fracture mainly according to the north east(NE)to the north or west(NW)to the exhibition,spacing between 0?2 m,mainly small spacing greater than 2 m;(2)The strike and inclination data of the sample fractures were analyzed,the rose chart and inclination distribution histogram of the fractures were drawn,and the fractures were divided into six mutually exclusive directional dominant groups,namely T1?T2?T3?T4?T5?T6;(3)The density of the fractures was calculated as 10m,and the calculated density was determined to be in line with the normal distribution.A semi-variogram model of the density was established.On this basis,the spatial distribution of the fracture density was simulated by geostatistics and the location distribution of the fractures was simulated by monte-Carlo method;(4)The principal component analysis method was used to treat the six fracture dominant direction groups,and three principal component values were obtained,which were respectively expressed as PC1,PC2 and PC3,and the corresponding direction groups were T2,T5 and T6.On the basis of the principal component semi-variograms model,the spatial distribution of the three principal components was estimated by geostatistics.The principal component values estimated at each point to be estimated were inverted to determine the most likely direction group for each fracture direction.Then the direction of the fracture was simulated by monte-Carlo method;(5)According to the location of the crack,direction,trace in each be estimated within a cell to generate the corresponding crack unit,depending on the spatial distribution of the location,direction,the same or similar fracture with belong to the same fracture surface,on the basis of considering the distance and Angle,will belong to the same crack below the yuan together,form the fracture network,according to its location and the direction to simulate the fracture network,and in Zhu Xianzhuang subject formation and main coal seam in the display.Figure 35 table 11 reference 91...