SEPARATION OF MAGNETIC ANOMALIES USING FRACTAL METHOD IN THE ESFORDI REGION FOR IRON EXPLORATION, CENTRAL EAST OF IRAN

• Published in: Bulletin of the Tomsk Polytechnic University Geo Assets Engineering
• Main Authors: Amin Karimi Kalvarzi, Aref Shirazi, Adel Shirazy, Amin Beiranvand Pour, Ardeshir Hezarkhani, Hamed Nazerian, Timofey V. Timkin, Valery G. Voroshilov
• Format: Article in Journal/Newspaper
• Language: Russian
• Published: Tomsk Polytechnic University 2023
• Subjects: magnetic anomalies; fractal; rtp-area method; modeling; iron ores; esfordi region; iran; Engineering geology. Rock mechanics. Soil mechanics. Underground construction; TA703-712; North Magnetic Pole
• Online Access: https://doi.org/10.18799/24131830/2023/3/3861; https://doaj.org/article/d7bfac233e3045edac835bd3770d0442

The relevance of research is determined by the possibilities of measuring the potential magnetic field, which has self-similar (fractal) properties, as well as a practical tool for prospecting and exploration of iron ores. In the Esfordi area, this method was used by us for the first time to identify, separate and interpret geophysical (magnetic) anomalies. The main aim of this thematic and practical study is the qualitative interpretation of geophysical data, the application of new methods in the prospecting and exploration of mineral deposits, modeling the geological environment and forecasting new promising areas. Object: Esfordi region, Yazd province, Iran. Methods. To obtain additional information about the subsurface, magnetometric data were used with their interpretation by the RTP (reduction to the north magnetic pole) method. For modeling purposes, an artificial sample was made, consisting of a sphere, a cube and a cuboid, and it was found that the fractal method can be used to separate anomalies for unipolar models (cube and cuboid). Results. The results of the study were applied to the Esfordi region, where it was found that at a survey scale of 1:100000, there is a direct relationship between the fractal method and the 3D model, which can be used to locate iron ore mineralization.