Separation of geochemical anomalies from background is an important and essential issue in the exploration of mineral deposits. Statistical methods are used to separation of anomaly from background. Fractal/multifractal and singularity methods are very suitable for the separation of weak anomalies. For interpolation, various methods could be used such as most distance-weighting methods, kriging, spline interpolation, interpolating polynomials, and finite difference methods. This paper addressed application of multifractal techniques together with finite difference procedure to detect the anomalous regions. Fractal models such as concentration–area, spectrum–area, and singularity index model were selected to identify Pb–Zn anomalies. In this research, 170 samples from 33 boreholes were taken in the Haft-Savaran area and analyzed for determination of Pb–Zn anomaly. Singularity method was a suitable method for separating Pb and Zn anomalies. Also, the results showed that the geochemical anomaly has occurred along NE–SW trend and is consistent with the sulfide mineralization process and the faults of the region.

将地球化学异常与背景分离是勘探矿床的重要而必不可少的问题。统计方法用于从背景中分离异常。分形/多重分形和奇异方法非常适合于分离弱异常。对于插值，可以使用各种方法，例如大多数距离加权方法，kriging，样条插值，插值多项式和有限差分法。本文讨论了多重分形技术以及有限差分程序在检测异常区域中的应用。选择分形模型（例如浓度-面积，光谱-面积和奇异指数模型）来识别Pb-Zn异常。在这项研究中 从Haft-Savaran地区采集了33个钻孔的170个样品，并进行了分析，以确定Pb-Zn异常。奇异性方法是分离Pb和Zn异常的合适方法。此外，结果表明，地球化学异常沿NE–SW趋势发生，并且与硫化物成矿过程和该地区的断层一致。