Leveraging EDA, Fractal Analysis, SFA, and GMPI for Identifying Geochemical Anomalies in Siah Cheshmeh Ophiolite Area, NW Iran

Document Type : Research Paper

Authors

Department of mining engineering, Urmia university, Urmia, Iran

Abstract

This study focuses on the integration of geochemical data analysis methods to enhance mineral exploration in the Siah Cheshmeh region of the Khoy Ophiolite in northwestern Iran. Initially, all preprocessing steps were applied to the geochemical data to ensure its quality and accuracy before proceeding with the main analysis. Staged Factor Analysis (SFA) was then employed to identify key elements closely related to mineralization processes, such as Au, Cu, Fe, Mn, Zn, Cr, and Ni, due to their significant roles in mineral enrichment and deposit formation. These elements were subsequently analyzed using Exploratory Data Analysis (EDA) and fractal modeling techniques to differentiate background from anomaly concentrations, effectively detecting high-anomaly areas indicative of mineral-rich zones. For example, the anomaly area for manganese using the fractal method was determined to be 4,551,879 square meters, compared to 22,107,400 square meters obtained using EDA, highlighting the fractal method's higher precision in mapping anomalies. The SFA approach was further refined using the Geochemical Mineralization Potential Index (GMPI), with calculations performed for the associations GMPIAu-Cu-Fe-Mn-Zn and GMPICr-Ni. GMPI values were determined based on the 95% cumulative frequency, with additional thresholds at 99% and 97.5% to highlight higher-intensity anomalies. This comprehensive integration of SFA, EDA, fractal modeling, and GMPI methods produced detailed geochemical maps that precisely identify prospective exploration areas, emphasizing regions with high mineral potential. The study demonstrates the effectiveness of combining these techniques to guide focused geochemical investigations for mineral exploration.

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Article Title [Persian]

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References

Afzal, P., Abdideh, M., Daneshvar Saein, L., 2023. Separation of productivity index zones using fractal models to identify promising areas of fractured reservoir rocks. Journal of Petroleum Exploration and Production Technology, 13: 1901-1910.
Aliyari, F., Afzal, P., Lotfi, M., Shokri, S., Feizi, H., 2020. Delineation of geochemical haloes using the developed zonality index model by multivariate and fractal analysis in the Cu– Mo porphyry deposits. Applied Geochemistry, 121: 104694.
Agharezaei, M., Hezarkhani, A., 2016. Delineation of geochemical anomalies based on Cu by the boxplot as an exploratory data analysis (EDA) method and concentration-volume (CV) fractal modeling in Mesgaran mining area, Eastern Iran. Open Journal of Geology, 6: 1269-1278.
Barak, S., Abedi, M., Bahroudi, A., 2020. A knowledge-guided fuzzy inference approach for integrating geophysics, geochemistry, and geology data in a deposit-scale porphyry copper targeting, Saveh, Iran. Bollettino di Geofisica Teorica ed Applicata, 61: 159-176.
Barak, S., Bahroudi, A., Jozanikohan, G., 2018. Exploration of Kahang porphyry copper deposit using advanced integration of geological, remote sensing, geochemical, and magnetics data. Journal of Mining and Environment, 9: 19-39.
Barak, S., Imamalipour, A., Abedi, M., 2023. Application of Fuzzy Gamma Operator for Mineral Prospectivity Mapping, Case Study: Sonajil Area. Journal of Mining and 160 Haghighi et al. Environment, 14: 981-997.
Barak, S., Imamalipour, A., Abedi, M., 2024. Employing multiple prospectivity mapping and exploration targeting, a case study from the Sonajil porphyry copper deposit, north-western Iran. Bulletin of Geophysics and Oceanography, DOI 10.4430/bgo00462.
Barak, S., Imamalipour, A., Abedi, M., Bahroudi, A., Mamikhalifani, F., 2021. Comprehensive modeling of mineral potential mapping by integration of multiset geosciences data. Geochemistry, 81: 125824.
Barbalace, K., 2007. Periodic table of elements. Environmental Chemistry. com, 04-14.
Berberian, M., King, G.C.P., 1981. Towards a paleogeography and tectonic evolution of Iran: Reply. Canadian Journal of Earth Sciences, 18: 1764-1766.
Carranza, E.J.M., Hale, M., 1997. A catchment basin approach to the analysis of reconnaissance geochemical-geological data from Albay Province, Philippines. Journal of Geochemical Exploration, 60: 157-171.
Cheng, Q., Agterberg, F.P., Ballantyne, S.B., 1994. The separation of geochemical anomalies from background by fractal methods. Journal of Geochemical exploration, 51: 109-130.
Ebrahimi, H., Barak, S., 2019. The comparison among two approaches of perimeter- concentration fractal and Exploratory Data Analysis (EDA) in geochemical exploration for Au element in North-western of Iran, 11th symposium of Iranian Society of Economic Geology, Ahvaz, Iran.
Ghasemi, S., Imamalipur, A., Barak, S., 2024. Application of Fractal Modeling for Accurate Resources Estimation in the Qarah Tappeh Copper Deposit, NW Iran. Journal of Mining and Environment, 15: 1563-1577.
Gutiérrez, M., Gómez, V.M.R., Herrera, M.T.A., López, D.N., 2012. Exploratory analysis of sediment geochemistry to determine the source and dispersion of Ba, Fe, Mn, Pb and Cu and in Chihuahua, Northern Mexico. Journal of Geography and Geology, 4: 26.
Hassani Pak, A.A., Sharafaddin, M., 2002. Exploration Data Analaysis, University of Tehran Press.
Hassanpour, S., Afzal, P., 2013. Application of concentration–number (C–N) multifractal modeling for geochemical anomaly separation in Haftcheshmeh porphyry system, NW Iran. Arabian Journal of Geosciences, 6: 957-970.
Heidari, S.M., Afzal, P., Sadeghi, B., 2024. Molybdenum and gold distribution variances within Iranian copper porphyry deposits. Journal of Geochemical Exploration, 261: 107471.
Hezarkhani, A., Seljouqi, S., 2016. Fractal and Multifractal Modeling of Geochemical Data, Amirkabir University of Technology (Tehran Polytechnic).
Imamalipour, A., 2009. Mineralogy and Geochemistry Study of Manganese-Iron Deposits in Ophiolitic Sediments North of Chaldoran, Northwest Iran, Iranian Journal of Crystallography and Mineralogy, pp. 3-14.
Imamalipour, A., Barak, S., 2019. Detection of promising area for exploring rare elements using Exploratory Data Analysis (EDA) in Zanjan area, 11th symposium of Iranian Society of Economic Geology, Ahvaz, Iran.
Liu, Y., Cheng, Q., Zhou, K., 2019. New insights into element distribution patterns ingeochemistry: A perspective from fractal density. Natural Resources Research, 28: 5-29.
Majidi, V., Ghalamghash, J., 2004. Geological Map Report of Siah Cheshmeh 1:100,000, Geological Survey and Mineral Explorations of Iran.
Mandelbrot, B.B., 1989. Fractal geometry: what is it, and what does it do?. Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences, 423: 3-16.
Mandelbrot, B.B., 1982. The fractal geometry of nature, New York: WH freeman. 1: 25-74.
Momeni, M., Faal Qayoumi, A., 2012. Statistical Analyses Using SPSS, Ganj Shayegan Publications.
Nabavi, M.H., 1976. An introduction to the geology of Iran, Geological Survey and Mineral Geopersia 2025, 15(1): 137-161 161 Exploration of Iran press.
Nogole-Sadat, M.A.A., Almasian, M., 1993. Tectonic map of Iran, scale 1: 1000, 000. Geological Survey of Iran, Tehran.
Paravarzar, S., Mokhtari, Z., Afzal, P., Aliyari, F., 2023. Application of an approximate geostatistical simulation algorithm to delineate the gold mineralized zones characterized by fractal methodology. Journal of African Earth Sciences, 200: 104865.
Pourgholam, M.M., Afzal, P., Adib, A., Rahbar, K., Gholinejad, M., 2024. Recognition of REEs anomalies using an image Fusion fractal-wavelet model in Tarom metallogenic zone, NW Iran. Geochemistry, 84: 126093.
Sadeghi, B., 2021. Concentration-concentration fractal modelling: a novel insight for correlation between variables in response to changes in the underlying controlling geological-geochemical processes. Ore Geology Reviews, 128: 103875.
Sanchez Siachoque, C.L., 2023. Geochemical Mapping of the North-Central Portion of the Yukon-Tanana Upland, Alaska, United States: Application of Exploratory Data Analysis (EDA) to REE and PGE Mining Prospection (Doctoral dissertation, Politecnico di Torino).
Shuguang, Z., Kefa, Z., Yao, C., Jinlin, W., Jianli, D., 2015. Exploratory data analysis and singularity mapping in geochemical anomaly identification in Karamay, Xinjiang, China. Journal of Geochemical Exploration, 154: 171-179.
Tukey, J.W., 1977. Exploratory data analysis, Reading, MA: Addison-wesley2: 131-160.
Xie, S., Bao, Z., 2004. Fractal and multifractal properties of geochemical fields. Mathematical Geology, 36: 847-864.
Yousefi, M., Barak, S., Salimi, A., Yousefi, S., 2023. Should geochemical indicators be integrated to produce enhanced signatures of mineral deposits? A discussion with regard to exploration scale. Journal of Mining and Environment, 14: 1011-1018.
Yousefi, M., Kamkar-Rouhani, A., Carranza, E.J.M., 2012. Geochemical mineralization probability index (GMPI): a new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in mineral potential mapping. Journal of Geochemical Exploration, 115: 24-35.
Yousefi, M., Kamkar-Rouhani, A., Carranza, E.J.M., 2014. Application of staged factor analysis and logistic function to create a fuzzy stream sediment geochemical evidence layer for mineral prospectivity mapping. Geochemistry: Exploration, Environment, Analysis, 14:45-58.
Yusta, I., Velasco, F., Herrero, J.M., 1998. Anomaly threshold estimation and data normalization using EDA statistics: application to lithogeochemical exploration in Lower Cretaceous Zn–Pb carbonate-hosted deposits, northern Spain. Applied geochemistry, 13:421-439.
Zuo, R., Wang, J., 2016. Fractal/multifractal modeling of geochemical data: A review. Journal of Geochemical Exploration, 164: 33-41.

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History

  • Receive Date: 12 August 2024
  • Revise Date: 31 October 2024
  • Accept Date: 09 November 2024

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