This study provides a description and statistical analysis of fold-related fractures in the Khur fold, northeast of Kopet Dagh fold-and-thrust belt, Iran. Kopet Dagh fold-and-thrust belt, as a part of Alpine-Himalaya orogeny belt in west Asia, forms the northeastern boundary of Iran plateau. In this study, the remote sensing technique was utilized to map and statistically analyze the lineaments on the satellite images. Extraction of fractures is based on the processing of satellite images and completed by field observations. Based on their directions, fractures can be categorized into four sets including an axial and a cross-axial set that trend parallel and perpendicular to the fold axial trace, respectively, and two oblique sets that trend at moderate angles to the axial trace. The mean trends of the principal compressional stress, independently calculated for the fold-related fractures systems, are close to N41° ± 5°E and are perpendicular to the general NW-SE trend of the Kopet Dagh fold-and-thrust belt. The cross-axial set is interpreted as the oldest set. The major orientation of lineaments is NE-SW. Also, the length distribution of fractures shows a right-skewed distribution. To extract the underlying scaling parameters, the dataset was analyzed using Maximum Likelihood Estimators (MLEs). It was found that a lognormal distribution is the best representative statistic for fracture lengths in the study area. The combination of information from the prepared fracture map, the analysis and measurement of the fractal dimension, and calculations of variables such as density and intensity revealed that the high probability of permeability along with fractures with an NW-SE trend.

这项研究为伊朗Kopet Dagh褶皱冲断带东北部的Khur褶皱中的​​褶皱相关裂缝提供了描述和统计分析。作为西亚西亚Alpine-Himalaya造山带的一部分的Kopet Dagh褶皱冲断带形成了伊朗高原的东北边界。在这项研究中，利用遥感技术对卫星图像上的线条进行了制图和统计分析。裂缝的提取基于卫星图像的处理，并通过现场观察完成。根据裂缝的方向，可以将裂缝分为四组，分别是沿平行和垂直于褶皱轴向走向的轴向和横向轴线，以及相对于轴向走向以适当角度趋向的两个倾斜组。主压应力的平均趋势，由褶皱相关裂缝系统独立计算得出的结果，接近N41°±5°E，并且垂直于Kopet Dagh褶皱冲断带的总体NW-SE趋势。横轴变形被认为是最早的变形。线条的主要方向是NE-SW。而且，裂缝的长度分布显示出右偏分布。为了提取基本的缩放参数，使用最大似然估计器（MLE）对数据集进行了分析。发现对数正态分布是研究区域中裂缝长度的最佳代表统计量。来自准备好的裂缝图的信息，分形维数的分析和测量，