Study and Application of Random Generation of Three-Dimensional Fracture Network in Coal Measure Rock Mass
[Purposes]This paper aims to reflect the spatial distribution characteristics of coal measures rock mass structural plane more clearly and intuitively.[Methods]The probability distribution functions of fracture location,density,diameter and occurrence were obtained based on geological statistical analy-sis of actual fracture data,and random variables satisfying certain distribution functions were generated by MATLAB editing program and Monte-Carlo stochastic simulation algorithm,thus forming a three-dimensional fracture network model.On this basis,the accuracy of the model was tested by comparing the parameters of the simulated crack model with those of the measured crack model.[Findings]The model not only highly restores the morphological characteristics of the actual cracks,but also accurately reproduces the spatial relationship between the cracks,including the cross,parallel distribution and ag-gregation area of the cracks.[Conclusions]The application of 3D fracture network random generation technology in coal measure rock fracture exploration is not only an important means to study the geomet-ric characteristics of fractures,but also provides technical support for the subsequent evaluation of rock permeability and mining safety.
coal measure rock massthree-dimensional fracture networkMonte-Carlo algorithm
NETL
NSTL
万方数据
