Detection of Geological Structures in the Gol Gohar Mining Iron Ore Area Using Airborne Magnetic Data | |
| روش های تحلیلی و عددی در مهندسی معدن | |
| مقاله 1، دوره 15، شماره 43، تیر 1404، صفحه 1-10 اصل مقاله (1.53 M) | |
| نوع مقاله: مقاله پژوهشی | |
| شناسه دیجیتال (DOI): 10.22034/anm.2025.22369.1647 | |
| نویسندگان | |
| Abdullah Ezam Ahmady؛ Abdolhamid Ansari* ؛ Seyyed Hossein Mojtahedzadeh | |
| Dept. of Mining and Metallurgy Engineering, Yazd University, Yazd, Iran | |
| چکیده | |
| This study focuses on the analysis of airborne magnetic data to identify surface and subsurface structures at various depths within the Gol Gohar mining area. The Gol Gohar region is recognized as one of the active mining areas in Iran, comprising six major anomalies along with several minor anomalies that contribute to significant complexities in its geological structures. Despite numerous studies conducted in this area, its deeper structures have not been thoroughly examined. The data utilized in this study consists of airborne magnetic data, with a line spacing of 500 meters and an average flight altitude of 120 meters. The methodology of this research begins with the application of the Reduced to the Pole (RTP) filter, utilizing Fast Fourier Transform (FFT) techniques to distinguish local residual structures from broader regional features. This multiscale approach facilitates a deeper understanding of the geological complexities within the study area and reveals its subsurface structures. Subsequently, advanced geophysical methods such as Total Horizontal Derivative (TDHR) and Tilt Angle Derivative (TDR) are employed to delineate the boundaries of anomalies. The objective of employing these methods is to delineate the structural boundaries of magnetic anomalies. Additionally, an advanced method for estimating the depth of magnetic anomalies, known as Euler Deconvolution, has been employed. Interpretations derived from the airborne magnetic data indicate that the geological structures generally trend NW-SE and are disrupted and offset by a series of faults with an approximately N-S orientation. Furthermore, the results suggest that ferromagnetic bodies are situated at considerable depths, extending from the NW towards the SE. This study is particularly important for identifying the magnetic anomaly structures in the Gol Gohar mining area, as it not only reveals the concealed anomalies of this mineral-rich region but also clarifies the arrangement of these anomalies effectively. | |
| کلیدواژهها | |
| Aeromagnetic data؛ Edge detectors؛ Structural features؛ Euler Method؛ GolGohar Mining complex | |
| عنوان مقاله [English] | |
| Detection of Geological Structures in the Gol Gohar Mining Iron Ore Area Using Airborne Magnetic Data | |
| نویسندگان [English] | |
| Abdullah Ezam Ahmady؛ Abdolhamid Ansari؛ Seyyed Hossein Mojtahedzadeh | |
| Dept. of Mining and Metallurgy Engineering, Yazd University, Yazd, Iran | |
| چکیده [English] | |
| This study focuses on the analysis of airborne magnetic data to identify surface and subsurface structures at various depths within the Gol Gohar mining area. The Gol Gohar region is recognized as one of the active mining areas in Iran, comprising six major anomalies along with several minor anomalies that contribute to significant complexities in its geological structures. Despite numerous studies conducted in this area, its deeper structures have not been thoroughly examined. The data utilized in this study consists of airborne magnetic data, with a line spacing of 500 meters and an average flight altitude of 120 meters. The methodology of this research begins with the application of the Reduced to the Pole (RTP) filter, utilizing Fast Fourier Transform (FFT) techniques to distinguish local residual structures from broader regional features. This multiscale approach facilitates a deeper understanding of the geological complexities within the study area and reveals its subsurface structures. Subsequently, advanced geophysical methods such as Total Horizontal Derivative (TDHR) and Tilt Angle Derivative (TDR) are employed to delineate the boundaries of anomalies. The objective of employing these methods is to delineate the structural boundaries of magnetic anomalies. Additionally, an advanced method for estimating the depth of magnetic anomalies, known as Euler Deconvolution, has been employed. Interpretations derived from the airborne magnetic data indicate that the geological structures generally trend NW-SE and are disrupted and offset by a series of faults with an approximately N-S orientation. Furthermore, the results suggest that ferromagnetic bodies are situated at considerable depths, extending from the NW towards the SE. This study is particularly important for identifying the magnetic anomaly structures in the Gol Gohar mining area, as it not only reveals the concealed anomalies of this mineral-rich region but also clarifies the arrangement of these anomalies effectively. | |
| کلیدواژهها [English] | |
| Aeromagnetic data, Edge detectors, Structural features, Euler Method, GolGohar Mining complex | |
| مراجع | |
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[1] Blakely, R.J., Potential theory in gravity and magnetic applications. 1996: Cambridge university press.
[2] Verduzco, B., et al., New insights into magnetic derivatives for structural mapping. 2004. 23(2): p. 116-119.
[3] Fairhead, J. and S. Williams, Evaluating normalized magnetic derivatives for structural mapping, in SEG Technical Program Expanded Abstracts 2006. 2006, Society of Exploration Geophysicists. p. 845-849.
[4] Sultan, S., et al., Geophysical measurements for subsurface mapping and groundwater exploration at the central part of the Sinai Peninsula, Egypt. 2009. 34(1): p. 103.
[5] Holden, E.-J., et al. Detection of regions of structural complexity within aeromagnetic data using image analysis. in 2010 25th International Conference of Image and Vision Computing New Zealand. 2010. IEEE.
[6] Oruç, B. and H.J.J.o.A.G. Selim, Interpretation of magnetic data in the Sinop area of Mid Black Sea, Turkey, using tilt derivative, Euler deconvolution, and discrete wavelet transform. 2011. 74(4): p. 194-204.
[7] Ferreira, F.J., et al., Enhancement of the total horizontal gradient of magnetic anomalies using the tilt angle. 2013. 78(3): p. J33-J41.
[8] Beamish, D. and J. White, TellusSW: airborne geophysical data and processing report. 2014.
[9] Dentith, M. and S.T. Mudge, Geophysics for the mineral exploration geoscientist. 2014: Cambridge University Press.
[10] Khalil, M.H.J.J.o.A.G., Subsurface faults detection based on magnetic anomalies investigation: a field example at Taba protectorate, South Sinai. 2016. 131: p. 123-132.
[11] Nasuti, Y. and A.J.G.J.I. Nasuti, NTilt as an improved enhanced tilt derivative filter for edge detection of potential field anomalies. 2018. 214(1): p. 36-45.
[12] Ibraheem, I.M., M. Haggag, and B.J.G. Tezkan, Edge detectors as structural imaging tools using aeromagnetic data: A case study of Sohag Area, Egypt. 2019. 9(5): p. 211.
[13] Cheng, Q. and Y. Xu. Geophysical data processing and interpreting and for mineral potential mapping in GIS environment. in Proceedings of the Fourth Annual Conference of the International Association for Mathematical Geology. 1998. De Frede Editore Napoli, Italy.
[14] Siemon, B. and T. Kerner. Airborne Geophysical Investigation of the Environment of Abandoned Salt Mines along the Staßfurt-Egeln Anticline, German. in 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011. 2011. European Association of Geoscientists & Engineers.
[15] Siemon, B., M. Ibs-von Seht, and S.J.R.S. Frank, Airborne electromagnetic and radiometric peat thickness mapping of a bog in Northwest Germany (Ahlen-Falkenberger Moor). 2020. 12(2): p. 203.
[16] Toktay, H.D.J.A.i.M.S. and Applications, INTERPRETATION OF MAGNETIC ANOMALIES BY USING ASTA EDGE DETECTION METHOD: SAKARYA (SAPANCA) EXAMPLE. 2021. 30(2).
[17] Zhao, Y., et al., A brief review of magnetic anomaly detection. 2021. 32(4): p. 042002.
[18] Ghorbani, M., The geology of Iran: tectonic, magmatism and metamorphism. 2021: Springer.
[19] Mirzaei, R., et al., Two-tiered magmatic-hydrothermal and skarn origin of magnetite from Gol-Gohar iron ore deposit of SE Iran: in-situ LA–ICP-MS analyses. 2018. 102: p. 639-653.
[20] Ghalamghash, J.K., A, Gol Gohar geological map 1:25000. Geological Survey of Iran, 2014.
[21] Sabzehi, M.J.G.s.o.I., Tehran, Gol Gohar geological map 1: 100000. 1997.
[22] Dentith, M., D.R. Cowan, and L.A.J.E.G. Tompkins, Enhancement of subtle features in aeromagnetic data. 2000. 31(2): p. 104-108.
[23] Jacobsen, B.H.J.G., A case for upward continuation as a standard separation filter for potential-field maps. 1987. 52(8): p. 1138-1148.
[24] Salem, A., et al., Interpretation of magnetic data using tilt-angle derivatives. 2008. 73(1): p. L1-L10.
[25] Keating, P. and L.J.G. Zerbo, An improved technique for reduction to the pole at low latitudes. 1996. 61(1): p. 131-137.
[26] Li, X.J.T.l.e., Magnetic reduction-to-the-pole at low latitudes: Observations and considerations. 2008. 27(8): p. 990-1002.
[27] Phillips, J.D., Locating magnetic contacts: a comparison of the horizontal gradient, analytic signal, and local wavenumber methods, in SEG Technical Program Expanded Abstracts 2000. 2000, Society of Exploration Geophysicists. p. 402-405.
[28] Reilly, A., G. Frazer, and B.J.I.T.o.S.P. Boashash, Analytic signal generation-tips and traps. 1994. 42(11): p. 3241-3245.
[29] Miller, H.G. and V.J.J.o.a.G. Singh, Potential field tilt—a new concept for location of potential field sources. 1994. 32(2-3): p. 213-217.
[30] Hood, P.J.G., Gradient measurements in aeromagnetic surveying. 1965. 30(5): p. 891-902.
[31] Thompson, D.J.G., EULDPH: A new technique for making computer-assisted depth estimates from magnetic data. 1982. 47(1): p. 31-37.
[32] Keating, P. and M.J.G.p. Pilkington, Euler deconvolution of the analytic signal and its application to magnetic interpretation. 2004. 52(3): p. 165-182.
[33] Bultman, M.W., Detailed interpretation of aeromagnetic data from the Patagonia Mountains area, southeastern Arizona. 2015, US Geological Survey.
[34] Reid, A.B., et al., Magnetic interpretation in three dimensions using Euler deconvolution. 1990. 55(1): p. 80-91.
[35] Elhussein, M., et al., Aeromagnetic Data Analysis for Sustainable Structural Mapping of the Missiakat Al Jukh Area in the Central Eastern Desert: Enhancing Resource Exploration with Minimal Environmental Impact. 2024. 16(20): p. 8764.
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