论文标题
使用条件数据与顺序高斯模拟的条件数据建模的骨折网络建模框架
Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation
论文作者
论文摘要
使用带有条件数据的地理工具的断裂表征是地下流量和运输应用程序的计算有效工具。本文的主要目的是提出一个地理方法的框架，以建模断裂网络。在该方法中，我们选择了邻里区域应用高斯顺序模拟，以便在未知区域中生成断裂网络。该角度是从种子中传播的，在模拟方案中，方向由邻域数据引导。初始种子可以通过泊松程序分布。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。模拟结果与流量和传输建模设置中的原始断裂网络兼容。从已经进行的研究中可以得出结论，裂缝网络的数值模拟是地下流量和运输应用中的有价值工具。
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.
