Geophysical Study to Identify Iron Mineralization Anomalies Using Terrestrial Magnetometry in the Chak-Chak Exploration Area, Iran

Year 2022, Volume: 65 Issue: 2 , 159 - 170 , 15.04.2022

Ali Akbar Aali Aref Shirazi , Adel Shirazy , Shayan Khakmardan , Abbas Maghsoudi Ardeshir Hezarkhani

https://doi.org/10.25288/tjb.1035354

Cited By: 1

https://izlik.org/JA45HP93UM

Abstract

Mineral exploration is the underlying theme of industry and discoveries because humans have been exploring for minerals from the very beginning, based on their needs. This research aims to find promising areas of iron ore mineralization in Chak-Chak Exploration area of Yazd province, Iran. The study’s range lies at a latitude of 32-33 degrees north and a longitude of 54-55 degrees east. This study collected data using terrestrial magnetometry at 6222 points in a 20 m x 10 m grid. Initially, these data were pre-processed, such as removing the magnetic field effect of the Earth's core. Subsequently, processes such as applying polarisation filters, trend surface correction, upward and downward conversions, vertical derivatives and analytical signals on the terrestrial magnetic data were performed. The Exploration range contains numerous peaks in the southwest and other summits in the northeast, according to the research findings. These anomalies are consistent with igneous rock units (rhyolites) and faults. Consequently, it may be stated that one of the most rapid and least costly methods of detecting iron anomalies is terrestrial magnetism, which produces satisfactory results.

Keywords

Chakchak , Iron , Magnetic Field , Mineralization , Terrestrial Magnetism

References

• Abubakar, R., Muxworthy, A., Sephton, M., Southern, P., Watson, J., Fraser, A., & Almeida, T. (2015). Formation of magnetic minerals at hydrocarbon-generation conditions. Marine and Petroleum Geology, 68, 509-519.
• Alahgholi, S., Shirazy, A., & Shirazi, A. (2018). Geostatistical studies and anomalous elements detection, Bardaskan Area, Iran. Open Journal of Geology, 8(7), 697-710.
• Bao-xian, Y. (2013). Data sharing between different proton magnetometer [J]. Inner Mongolia Coal Economy, 5.
• Chelotti, L., Acosta, N., & Foster, M. (2009). Cátedra de Geofísica Aplicada. Universidad Nacional de la Patagonia San Juan Bosco, Argentina.
• Company, K. (2016). Gravimetric studies and combining the results with magnetometric studies of the Hoz Vali iron ore range.
• Company, Y. Z. Y. M. C. (2018). Kahrang Iron Ore Mine Exploration Report.
• Currenti, G., Napoli, R., Carbone, D., Del Negro, C., & Ganci, G. (2007). Inverse modeling in geophysical applications. In Applied And Industrial Mathematics In Italy II (pp. 279-290). World Scientific.
• Dobrin, M. B., & Savit, C. (1988). Introduction to Geophysical Prospecting. McGraw-Hill Book Co. New York.
• Doodran, R. J., Khakmardan, S., Shirazi, A., & Shirazy, A. (2020). Minimalization of Ash from Iranian Gilsonite by
• Froth Flotation. Journal of Minerals and Materials Characterization and Engineering, 9(1), 1-13.
• Edelstein, A. (2007). Advances in magnetometry. Journal of Physics: Condensed Matter, 19(16), 165217.
• Ghorbani, M. (2013a). Economic geology of Iran (Vol. 581). Springer.
• Ghorbani, M. (2013b). A summary of geology of Iran. In The economic geology of Iran (pp. 45-64). Springer.
• Khakmardan, S., Doodran, R. J., Shirazy, A., Shirazi, A., & Mozaffari, E. (2020). Evaluation of Chromite Recovery from Shaking Table Tailings by Magnetic Separation Method. Open Journal of Geology, 10(12), 1153-1163.
• Khakmardan, S., Shirazi, A., Shirazy, A., & Hosseingholi, H. (2018). Copper oxide ore leaching ability and cementation behavior, mesgaran deposit in Iran. Open Journal of Geology, 8(09), 841.
• Khayer, K., Shirazy, A., Shirazi, A., Ansari, A., Nazerian, H., & Hezarkhani, A. (2021). Determination of Archie’s Tortuosity Factor from Stoneley Waves in Carbonate Reservoirs. International Journal of Science and Engineering Applications (IJSEA), 10, 107-110.
• Khosravi, V., Shirazi, A., Shirazy, A., Hezarkhani, A., & Pour, A. B. (2022). Hybrid Fuzzy-Analytic Hierarchy Process (AHP) Model for Porphyry Copper Prospecting in Simorgh Area, Eastern Lut Block of Iran. Mining, 2(1), 1-12.
• Liu, H., Dong, H., Liu, Z., Ge, J., Bai, B., & Zhang, C. (2017). Construction of an Overhauser magnetic gradiometer and the applications in geomagnetic observation and ferromagnetic target localization. Journal of Instrumentation, 12(10), T10008.
• Minshull, T. (2003). Kearey, P., Brooks, M. & Hill, I. 2002. An Introduction to Geophysical Exploration, ix+ 262 pp. Oxford: Blackwell Science. Geological Magazine, 140(3), 366-366.
• Nabighian, M. N., Grauch, V., Hansen, R., LaFehr, T., Li, Y., Peirce, J. W., Phillips, J. D., & Ruder, M. (2005). The historical development of the magnetic method in exploration. Geophysics, 70(6), 33ND-61ND.
• Shirazi, A., Hezarkhani, A., Shirazy, A., & Shahrood, I. (2018a). Exploration Geochemistry Data-Application for Cu Anomaly Separation Based On Classical and Modern Statistical Methods in South Khorasan, Iran. International Journal of Science and Engineering Applications, 7, 39-44.
• Shirazi, A., Hezarkhani, A., Shirazy, A., & Shahrood, I. (2018b). Remote sensing studies for mapping of iron oxide regions, South of Kerman, Iran. International Journal of Science and Engineering Applications, 7(4), 45-51.
• Shirazi, A., Shirazy, A., & Karami, J. (2018c). Remote sensing to identify copper alterations and promising regions, Sarbishe, South Khorasan, Iran. International Journal of Geology and Earth Sciences, 4(2), 36-52.
• Shirazi, A., Shirazy, A., Saki, S., & Hezarkhani, A. (2018d). Geostatistics studies and geochemical modeling based on core data, sheytoor iron deposit, Iran. Journal of Geological Resource and Engineering, 6, 124-133.
• Shirazy, A., Shirazi, A., Heidarlaki, S., & Ziaii, M. (2018a). Exploratory Remote Sensing Studies to Determine the Mineralization Zones around the Zarshuran Gold Mine. International Journal of Science and Engineering Applications, 7(9), 274-279.
• Shirazy, A., Shirazi, A., & Hezarkhani, A. (2018b). Predicting gold grade in Tarq 1: 100000 geochemical map using the behavior of gold, Arsenic and Antimony by K-means method. Journal of Mineral Resources Engineering, 2(4), 11-23.
• Shirazy, A., Shirazi, A., Ferdossi, M. H., & Ziaii, M. (2019). Geochemical and geostatistical studies for estimating gold grade in tarq prospect area by k-means clustering method. Open Journal of Geology, 9(6), 306-326.
• Shirazy, A., Ziaii, M., & Hezarkhani, A. (2020a). Geochemical Behavior Investigation Based on K-means and Artificial Neural Network Prediction for Copper, in Kivi region, Ardabil province, Iran. Iranian Journal of Mining Engineering, 14(45), 96-112.
• Shirazy, A., Ziaii, M., Hezarkhani, A., & Timkin, T. (2020b). Geostatistical and remote sensing studies to identify high metallogenic potential regions in the Kivi area of Iran. Minerals, 10(10), 869.
• Shirazy, A., Hezarkhani, A., Timkin, T., & Shirazi, A. (2021a). Investigation of Magneto-/Radio-Metric Behavior in Order to Identify an Estimator Model Using K-Means Clustering and Artificial Neural Network (ANN) (Iron Ore Deposit, Yazd, Iran). Minerals, 11(12), 1304.
• Shirazy, A., Shirazi, A., & Nazerian, H. (2021b). Application of Remote Sensing in Earth Sciences–A Review. International Journal of Science and Engineering Applications, 10, 45-51.
• Shirazy, A., Shirazi, A., Nazerian, H., & Hezarkhani, A. (2021c). Investigation of Geochemical Sections in Exploratory Boreholes of Mesgaran Copper Deposit in Iran. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 9(8), 2364-2368.
• Shirazy, A., Shirazi, A., Nazerian, H., Khayer, K., & Hezarkhani, A. (2021d). Geophysical study: Estimation of deposit depth using gravimetric data and Euler method (Jalalabad iron mine, Kerman province of Iran). Open Journal of Geology, 11(8), 340-355.
• Shirazy, A., Ziaii, M., & Hezarkhani, A. (2021e). Geochemical behavior investigation based on k-means and artificial neural network prediction for titanium and zinc, Kivi region, Iran. Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering, 332(3), 113-125.
• Shirazy, A., Hezarkhani, A. , Shirazi, A. , Khakmardan, S. & Rooki, R. (2022). K-Means Clustering and General Regression Neural Network Methods for Copper Mineralization probability in Chahar-Farsakh, Iran. Geological Bulletin of Turkey, 65(1), 79-92. https://doi.org/10.25288/tjb.1010636
• Spaldin, N. A. (2010). Magnetic materials: fundamentals and applications. Cambridge University press.
• Tian, W.-f., Hao, J.-J., Yan, J.-y., Li, C.-z., & Zhao, X.-w. (2010). Application of synthetic geophysical methods to deep exploration of Hanxing-type iron deposit. Progress in Geophysics, 25(4), 1442-1452.