Geomagnetic measurements detect the superposition of both regional and residual anomalies. Regional anomalies are caused by deep geological structures, while the residual ones are due to shallow sources. The presence of regional anomalies complicates the interpretation of magnetic data; to this end, a variety of techniques have been proposed for regional-residual anomaly separation. Most of them are based on Fourier transforms. Although valid results can be obtained from these methods, they have some limitations, such as requiring basic knowledge on approximate cut-off frequencies. This study focuses on spatial filtering employing factorial kriging (FK) for geomagnetic anomaly separation. FK employs geostatistical filtering based on spatial dependencies of the data. In contrast to the upward continuation, which is a trial and error method and needs to be checked with different distances of continuations, the utilisation of FK on synthetic data revealed that FK could automatically perform the separation and also helps to find the optimum distance for the upward continuation method. Following experiments with a synthetic model, the method was applied to real magnetic data of Bashmaq in northwestern Iran. Applying FK on a complicated real case study showed that it could separate the regional and residual components satisfactorily. Furthermore, results from the proposed approach have been compared against the Gaussian Separation Method (GSM). The results are compared to borehole information. The lithological columns are presented as part of the geology investigation. As demonstrated in the case study, the FK method has proven to be an accurate tool to better determine the mineralisation zones compared to GSM, which, in turn, facilitates the interpretation.

地磁测量检测到区域异常和残余异常的叠加。区域异常是由深部地质构造引起的，而残余异常是由浅源引起的。区域异常的存在使磁数据的解释变得复杂；为此，已经提出了多种用于区域-残差异常分离的技术。它们中的大多数基于傅立叶变换。尽管可以从这些方法中获得有效的结果，但它们有一些局限性，例如需要有关近似截止频率的基本知识。本研究侧重于使用因子克里金法 (FK) 进行地磁异常分离的空间过滤。FK 使用基于数据空间依赖性的地统计过滤。与向上的延续相反，这是一种反复试验的方法，需要用不同的连续距离进行检查，在合成数据上使用 FK 表明 FK 可以自动执行分离，也有助于找到向上延续方法的最佳距离。在对合成模型进行实验之后，将该方法应用于伊朗西北部 Bashmaq 的真实磁数据。将 FK 应用于复杂的实际案例研究表明，它可以令人满意地分离区域和残差成分。此外，已将所提出方法的结果与高斯分离方法 (GSM) 进行了比较。将结果与钻孔信息进行比较。岩性柱是地质调查的一部分。如案例研究所示，