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Delineation of ore zones using the concentration-volume fractal method in the Dagh Dali Zn-Pb (±Au) prospect, north of Takab (Iran)

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Dagh Dali Zn-Pb (±Au) hydrothermal prospect is located in the north-west of Iran. Identification of mineralized zones is essential in ore deposit exploration. Different methods have been developed and applied to separate mineralized zones from barren host rocks based on mineralogical and petrographical studies, alteration and host rock changes as well as statistical and geostatistical parameters. This study uses the ordinary kriging technique and the concentration-volume fractal (C-V) method to model the ore body and recognize the ore grade distribution. These techniques were applied on the drillcore data and C-V fractal modelling, values of various ore zones being determined. Four breakpoints were found in the log-log plots which correspond to concentrations of 5.4, 10.5, and 17.8 wt.% Zn. The extractable ore zone for Zn is considered to be in the concentaration range of 5.4 to 17.8 wt.%. Compared to the amount of reserve obtained from the geostatistical method (303,685 tons), it seems that the fractal method is more precise and accurate in the estimation of ore reserves.
Rocznik
Strony
275--287
Opis fizyczny
Bibliogr. 37 poz., rys., tab., wykr.
Twórcy
  • Urmia University, Department of Mining Engineering, 57153-165 Urmia, Islamic Republic of Iran
  • Urmia University, Department of Mining Engineering, 57153-165 Urmia, Islamic Republic of Iran
  • Urmia University, Department of Mining Engineering, 57153-165 Urmia, Islamic Republic of Iran
Bibliografia
  • 1. Afzal, P., Dadashzadeh, H., Rashidnejad, N., Aliyari, F., 2013. Delineation of Au mineralized zones using concentration - volume fractal model in Qolqoleh Au deposit, NW Iran. Ore Geology Reviews, 55: 125-133.
  • 2. Afzal, P., Fadakar, Y., Khakzad, A., Moarefvand, P., Rashidnejad, N., 2011. Delineation of mineralization zones in porphyry Cu deposits by fractal concentration - volume modeling. Journal of Geochemical Exploration, 108: 220-232.
  • 3. Afzal, P., Khakzad, A., Moarefvand, P., Rashidnejad, N., Esfandiari, B., Fadakar, Y., 2010. Geochemical anomaly separation by multifractal modeling in Kahang (Gor Gor) porphyry system, Central Iran. Journal of Geochemical Exploration, 104: 34-46.
  • 4. Alavi, M., Hajian, J., Amidi, M., Bolourchi, H., 1982. Geology of the Takab-Saein-Qal'eh. Geol. Surv. Iran. Rpt 50.
  • 5. Alavi, M., 1994. Tectonics of the Zagros orogenic belt of Iran: new data and interpretations. Tectonophysics, 229: 211-238.
  • 6. Antunes, I.M.H.R., Albuquerque, M.T.D., 2013. Science of the total environment using indicator kriging for the evaluation of arsenic potential contamination in an abandoned mining area (Portugal). Science of the Total Environment, 442: 545-552.
  • 7. Asadi, H.H., Hale, M., 1999. Magmatic contribution to the Carlin-type Au deposit at Zarshuran, Iran. Proceedings of the Fifth Joint SGA-IAGOD International Meeting, Imperial College, London.
  • 8. Asadi, H.H., Hale, M., 2001. A predictive GIS model for mapping potential Au and base metal mineralization in Takab area, Iran. Computers and Geosciences, 8: 901-912.
  • 9. Bai, J., Porwal, A., Hart, C., Ford, A., Yu, L., 2010. Mapping geochemical singularity using multifractal analysis: application to anomaly definition on stream sediment data from Funin Sheet, Yunnan, China. Journal of Geochemical Exploration, 104:1-11.
  • 10. Carranza, E.J., 2008. Geochemical Anomaly and Mineral Prospectivity Mapping in GIS. Handbook of Exploration and Environmental Geochemistry, Elsevier.
  • 11. Carranza, E.J.M., 2009. Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features. Ore Geology Reviews, 35: 383-400.
  • 12. Carranza, E.J.M., Owusu, E.A., Hale, M., 2009. Mapping of prospectivity and estimation of a number of undiscovered prospects for lode Au, southwestern Ashanti Belt, Ghana. Mineralium Deposita, 44: 915-938.
  • 13. Carranza, M., Sadeghi, M., 2010. Predictive mapping of prospectivity and quantitative estimation of undiscovered VMS deposits in Skellefte district (Sweden). Ore Geology Reviews, 38: 219-241.
  • 14. Cheng, Q., 1999. Spatial and scaling modeling for geochemical anomaly separation. Journal of Geochemical Exploration, 65: 175-194.
  • 15. Cheng, Q., 2007. Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province China. Ore Geology Reviews, 32: 314-324.
  • 16. Cheng, Q., Li, Q., 2002. A fractal concentration - area method for assigning a color palette for image representation. Computers and Geosciences, 28: 567-575.
  • 17. Cheng, Q., Agterberg, F.P., Ballantyne, S.B., 1994. The separation of geochemical anomalies from the background by fractal methods. Journal of Geochemical Exploration, 2: 42-67.
  • 18. Cheng, Q., Ping, Q., Kenny, F., 1997. Statistical and fractal analysis of surface stream patterns in the Oak Ridges Moraine, Ontario, Canada. International Association of Mathematical Geology Meeting, Barcelona, Spain.
  • 19. Daliran, F., 2003. Discovery of 1.2 kg/t gold and 1.9 kg/t silver in mud precipitates of a cold spring from the Takab geothermal field, NW Iran. Mineral exploration and sustainable development: 461-464.
  • 20. Daliran, F., 2008. The carbonate rock-hosted epithermal Au deposit of Agdarreh, Takab geothermal field, NW Iran - hydrothermal alteration and mineralization. Mineralium Deposita, 43: 383-404.
  • 21. Davis, J.C., 2002. Statistics and Data Analysis in Geology. John Wiley and Sons.
  • 22. Ghorbani, M., 2013. The Economic Geology of Iran. Springer.
  • 23. Gonçalves, M.A., Mateus, A., Oliveira, V., 2001. Geochemical anomaly separation by multifractal modelling. Journal of Geochemical Exploration, 72: 91-114.
  • 24. Hasani Pak, A.A., 2003. Geostatistics. Tehran University Press.
  • 25. Karimi, M.,1993. Petrographic-mineralogical studies, and the genesis of the Au-As ore at Zarshouran (Takab) (in Persian with English abstract). M.Sc. thesis, University of Tarbiat Moallem, Tehran.
  • 26. Leuangthong, O., Khan, K.D., Deutsch, C.V., 2011. Solved Problems in Geostatistics, John Wiley and Sons.
  • 27. Li, Ch., Ma, T., Shi, J., 2003. Application of a fractal method relating concentrations and distances for separation of geochemical anomalies from the background. Journal of Geochemical Exploration, 77: 167-175.
  • 28. Li, J., Heap, A.D., 2008. A Review of spatial interpolation methods for environmental scientists. Geoscience Australia: 137-145.
  • 29. Lowell, J.D., Guilbert, J.M., 1970. Lateral and vertical alteration-mineralization zoning in porphyry ore deposits. Economic Geology, 65: 373-408.
  • 30. Mandelbrot, B.B., 1983. The Fractal Geometry of Nature. W.H. Freeman and Company New York.
  • 31. Marinoni, O., 2003. Improving geological models using a combined ordinary - indicator kriging approach. Engineering Geology, 69: 37-45.
  • 32. Rahimsouri, Y., Mehrabi, B., Alipour, Sh., 2019. Mineralogy, geochemistry and fluid inclusion studies of Dagh-Dali Zn-Pb(±Au) Deposit, Northern Takab, Northwest Iran (in Persian). Iranian Journal of Petrology, 35: 217-244.
  • 33. Sadeghi, B., Moarefvand, P., Afzal, P., Bijan, A., Daneshvar, L., 2012. Application of fractal models to outline mineralized zones in the Zaghia iron ore deposit, Central Iran. Journal of Geochemical Exploration, 122: 9-19.
  • 34. Sim, L., Bankwitz, P., Korcemagin, V.A., Frischbutter, A., 1999. The neotectonic stress field pattern of the East European Platform. Zeitschrift fur Geologische Wissenschaften, 27: 161-182.
  • 35. Sinclair, A.J., Blackwell, G.H., 2002. Applied Mineral Inventory Estimation. Cambridge University Press.
  • 36. Stöcklin, J., 1968. Structural history and tectonics of Iran: a review. AAPG Bulletin, 52: 1229-1258.
  • 37. Zuo, R., Cheng, Q., Xia, Q., 2009. Application of fractal models to the characterization of vertical distribution of geochemical element concentration. Journal of Geochemical Exploration, 102: 37-43.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1fc58b66-a322-4cc5-bcd9-2ca1040c7fe4
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