The fracture characterization using a geostatistical tool with conditioning data is a computationally efficient tool for subsurface flow and transport applications. The main objective of the paper is to propose a framework of geostatistical method to model the fracture network. In the method, we have chosen neighborhood area to apply the Gaussian Sequential Simulation in order to generate the fracture network in the unknown region. The angle was propagated from the seed where direction is guided by the neighborhood data in simulation regime. Initial seeds can be distributed by Poisson procedure. The method is applied for geological faults from the Central Kazakhstan and for field data from Scotland, UK. The simulation results are compatible with the original fracture network in the flow and transport modeling setting. From the research that has been carried out, it is possible to conclude that the numerical simulation of fracture network is a valuable tool in the subsurface flow and transport applications.

中文翻译：

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使用条件数据和顺序高斯模拟的断裂网络建模框架

使用带调节数据的地质统计工具进行裂缝表征是地下流动和传输应用的计算高效工具。本文的主要目的是提出一个地质统计学方法的框架来模拟裂缝网络。在该方法中，我们选择了邻域区域来应用高斯序列模拟，以在未知区域生成裂缝网络。该角度从种子传播，其中方向由模拟制度中的邻域数据引导。初始种子可以通过泊松过程分发。该方法适用于哈萨克斯坦中部的地质断层和英国苏格兰的现场数据。模拟结果与流动和输运建模设置中的原始裂缝网络兼容。