Separation of geochemical anomalies from the background using various methods for identifying areas of higher mineral potential is a critical first step in Greenfield and Brownfield programs. There are several methods for differentiating anomalous regions from the background. The U-spatial statistics is an effective technique that provides the opportunity of reaching this goal by considering the geochemical sample locations in the separation of geochemical anomalies. In this study, a developed form of the U-spatial statistics method is introduced, which not only considers the existence of anisotropic spatial variations in input data but also reduces the computational (CPU) time. While the previous method is based on the isotropic assumption in the study area and a set of search windows at different times, here, the geochemical anomaly is determined by pasting only one ellipsoid window, effectively combining the flexibility of the U-spatial statistics method with the advantages of geostatistical approaches. This paper compares various approaches (the previous and developed version of the U-spatial statistics method, concentration-area (C–A) fractal model, and probability diagram modeling) for the separation of anomalous areas in the presence of heterogeneous spatial variations. This is done with an application to a Baghqloom porphyry copper deposit located in southeastern Iran. The high potential areas identified via different approaches show an anomalous region in central parts of the Baghqloom area, which partially coincides with an intense potassic alteration area. Compared to other methods, our algorithm separated the high potential areas at a greater spatial resolution.

在格林菲尔德和布朗菲尔德计划中，使用多种方法来识别具有较高矿藏潜力的区域将地球化学异常与背景分离是至关重要的第一步。有几种方法可以将异常区域与背景区分开。U空间统计是一种有效的技术，可通过在地球化学异常的分离中考虑地球化学样本的位置来提供实现此目标的机会。在这项研究中，介绍了U空间统计方法的一种改进形式，该方法不仅考虑了输入数据中各向异性空间变化的存在，而且还减少了计算（CPU）时间。虽然先前的方法是基于研究区域的各向同性假设和不同时间的一组搜索窗口，但在这里，地球化学异常是通过仅粘贴一个椭圆形窗口确定的，将U空间统计方法的灵活性与地统计方法的优势有效地结合在一起。本文比较了在存在异构空间变化的情况下分离异常区域的各种方法（U空间统计方法的先前版本和开发版本，浓度区域（C–A）分形模型和概率图建模）。这是通过对位于伊朗东南部的Baghqloom斑岩铜矿床的应用来完成的。通过不同方法确定的高潜力区域在巴格鲁姆地区的中部出现一个异常区域，部分与强烈的钾化蚀变区重合。与其他方法相比，