基于关键裂隙识别的离散裂隙网络骨架提取研究

Study on skeleton extraction of discrete fracture networks based on key fracture identification

离散裂隙网络可以用于模拟煤岩体的力学性能、渗流特性、热传导等多种物理过程,在很多领域都有重要的应用。离散裂隙网络骨架提取的实质是选取网络中较为重要的关键裂隙并将其串联起来。本文提出基于关键裂隙识别的裂隙网络骨架提取方法,该方法首先进行关键裂隙的识别,在此基础上,构建连通的离散裂隙网络骨架。在关键裂隙识别方面,引入分解次数和分解因子,对传统K-shell算法进行了改进,解决了K-shell算法对不同裂隙重要性的区分度不足的问题,提升了关键裂隙的识别效果。在关键裂隙识别的基础上,提出一种离散裂隙网络骨架提取算法,该算法在不断选取重要裂隙的同时保证裂隙间的连通性,并且考虑了裂隙网络的入面和出面属性。离散裂隙网络数据集上的模拟实验结果表明,本文所提出的算法可以有效地实现离散裂隙网络的骨架提取。

Discrete fracture networks can be used to simulate a wide range of physical processes such as mechanical properties,seepage characteristics,and heat transfer in coal rock bodies,and have important applications in many fields.Discrete fracture network skeleton extraction essentially involves selecting the more important key fractures in the network and connecting them in series.In this paper,it proposes a method for extracting the skeleton of the fracture network based on the identification of key fractures,which firstly carries out the identification of key fractures,and on this basis,constructs the skeleton of the connected discrete fracture network.In terms of key fracture identification,this paper introduces the definitions of decomposition number and decomposition factor,improves the traditional K-shell algorithm,solves the problem of insufficient differentiation of K-shell algorithm on the importance of different fracture,and improves the identification effect of key fracture.On the basis of key fracture identification,this paper proposes an algorithm of skeleton extraction of discrete fracture networks,which ensures the connectivity between fractures while continuously selecting important fractures,and takes into account the in-plane and out-plane properties of the fracture network.Simulation experiments on the discrete slit network dataset show that the algorithm proposed in this paper can effectively achieve the skeleton extraction of discrete fracture networks.